Mithat Gönen

101.8k total citations · 17 hit papers
781 papers, 60.7k citations indexed

About

Mithat Gönen is a scholar working on Oncology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Mithat Gönen has authored 781 papers receiving a total of 60.7k indexed citations (citations by other indexed papers that have themselves been cited), including 383 papers in Oncology, 278 papers in Surgery and 238 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Mithat Gönen's work include Hepatocellular Carcinoma Treatment and Prognosis (162 papers), Pancreatic and Hepatic Oncology Research (138 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (132 papers). Mithat Gönen is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (162 papers), Pancreatic and Hepatic Oncology Research (138 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (132 papers). Mithat Gönen collaborates with scholars based in United States, Canada and Netherlands. Mithat Gönen's co-authors include Ronald P. DeMatteo, William R. Jarnagin, Yuman Fong, Leslie H. Blumgart, Murray F. Brennan, Peter J. Allen, Michael I. D’Angelica, Steven M. Larson, Vinod P. Balachandran and Andrew J. Vickers and has published in prestigious journals such as Nature, New England Journal of Medicine and Cell.

In The Last Decade

Mithat Gönen

753 papers receiving 59.7k citations

Hit Papers

Assessing the Performance of Prediction Models 2001 2026 2009 2017 2009 2015 2018 2017 2002 1000 2.0k 3.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Assessing the Performance of Prediction Models
    2009 3.2k citations Mithat Gönen et al. profile →
  2. Nomograms in oncology: more than meets the eye
    2015 2.3k citations Vinod P. Balachandran, Mithat Gönen et al. profile →
  3. Long-Term Follow-up of CD19 CAR Therapy in Acute Lymphoblastic Leukemia
    2018 1.8k citations Mithat Gönen et al. profile →
  4. Targeting a CAR to the TRAC locus with CRISPR/Cas9 enhances tumour rejection
    2017 1.3k citations Mithat Gönen et al. profile →
  5. Improvement in perioperative outcome after hepatic resection: analysis of 1,803 consecutive cases over the past decade.
    2002 1.2k citations William R. Jarnagin, Mithat Gönen et al. PubMed profile →
  6. Improvement in Perioperative Outcome After Hepatic Resection
    2002 1.0k citations William R. Jarnagin, Mithat Gönen et al. profile →
  7. Extensions to decision curve analysis, a novel method for evaluating diagnostic tests, prediction models and molecular markers
    2008 989 citations Mithat Gönen et al. profile →
  8. Staging, Resectability, and Outcome in 225 Patients With Hilar Cholangiocarcinoma
    2001 982 citations William R. Jarnagin, Ronald P. DeMatteo et al. profile →
  9. Actual 10-Year Survival After Resection of Colorectal Liver Metastases Defines Cure
    2007 884 citations William R. Jarnagin, Ronald P. DeMatteo et al. Journal of Clinical Oncology profile →
  10. Estimating Risk of Recurrence in Differentiated Thyroid Cancer After Total Thyroidectomy and Radioactive Iodine Remnant Ablation: Using Response to Therapy Variables to Modify the Initial Risk Estimates Predicted by the New American Thyroid Association Staging System
    2010 668 citations R. Michael Tuttle, Ronald Ghossein et al. profile →
  11. Intrahepatic Cholangiocarcinoma
    2008 646 citations Mithat Gönen, David S. Klimstra et al. profile →
  12. Recurrent somatic TET2 mutations in normal elderly individuals with clonal hematopoiesis
    2012 577 citations Agnès Viale, Mithat Gönen et al. profile →
  13. Clinical translation of an ultrasmall inorganic optical-PET imaging nanoparticle probe
    2014 551 citations Pat Zanzonico, Richard D. Carvajal et al. profile →
  14. Concordance probability and discriminatory power in proportional hazards regression
    2005 512 citations Mithat Gönen et al. profile →
  15. Ultrasmall nanoparticles induce ferroptosis in nutrient-deprived cancer cells and suppress tumour growth
    2016 507 citations Kai Ma, Feng Chen et al. profile →
  16. Patterns of Initial Recurrence in Completely Resected Gastric Adenocarcinoma
    2004 486 citations Michael I. D’Angelica, Mithat Gönen et al. profile →
  17. Randomized Trial of Hepatic Artery Embolization for Hepatocellular Carcinoma Using Doxorubicin-Eluting Microspheres Compared With Embolization With Microspheres Alone
    2016 271 citations Karen T. Brown, Mithat Gönen et al. Journal of Clinical Oncology profile →

Peers

Mithat Gönen
Lawrence H. Schwartz United States
Daniel J. Sargent United States
Larry Rubinstein United States
Richard Kaplan United Kingdom
David Cunningham United Kingdom
Donald Maxwell Parkin France
David Forman United Kingdom
Hyuna Sung United States
Lindsey A. Torre United States
Mathieu Laversanne France
Lawrence H. Schwartz United States
Mithat Gönen
Citations per year, relative to Mithat Gönen Mithat Gönen (= 1×) peers Lawrence H. Schwartz

Countries citing papers authored by Mithat Gönen

Since Specialization
Citations

This map shows the geographic impact of Mithat Gönen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mithat Gönen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mithat Gönen more than expected).

Fields of papers citing papers by Mithat Gönen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mithat Gönen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mithat Gönen. The network helps show where Mithat Gönen may publish in the future.

Co-authorship network of co-authors of Mithat Gönen

This figure shows the co-authorship network connecting the top 25 collaborators of Mithat Gönen. A scholar is included among the top collaborators of Mithat Gönen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mithat Gönen. Mithat Gönen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Mitchell, Aaron Philip, Stacie B. Dusetzina, Hannah E. Fuchs, et al.. (2025). Provider billing margin and cancer treatment selection: population based cohort study. BMJ. 391. e084729–e084729.
2.
Widmar, Maria, Iris H. Wei, Emmanouil P. Pappou, et al.. (2024). Clinical Calculator for Predicting Freedom From Recurrence After Resection of Stage I-III Colon Cancer in Patients With Microsatellite Instability. JCO Clinical Cancer Informatics. 8(8). e2300233–e2300233. 1 indexed citations
3.
Aviki, Emeline, T. Peter Kingham, Eileen M. O’Reilly, et al.. (2024). Impact of Financial Toxicity on Treatment Adherence and Quality of Life in Pancreatic Cancer. JCO Oncology Practice. 21(9). 1325–1334. 2 indexed citations
4.
Madajewski, Brian, Feng Chen, Barney Yoo, et al.. (2020). Molecular Engineering of Ultrasmall Silica Nanoparticle–Drug Conjugates as Lung Cancer Therapeutics. Clinical Cancer Research. 26(20). 5424–5437. 17 indexed citations
5.
Juthani, Rupa, Brian Madajewski, Barney Yoo, et al.. (2019). Ultrasmall Core-Shell Silica Nanoparticles for Precision Drug Delivery in a High-Grade Malignant Brain Tumor Model. Clinical Cancer Research. 26(1). 147–158. 71 indexed citations
6.
Reidy‐Lagunes, Diane, Neeta Pandit‐Taskar, Joseph A. O’Donoghue, et al.. (2019). Phase I Trial of Well-Differentiated Neuroendocrine Tumors (NETs) with Radiolabeled Somatostatin Antagonist 177Lu-Satoreotide Tetraxetan. Clinical Cancer Research. 25(23). 6939–6947. 71 indexed citations
7.
Chen, Feng, Kai Ma, Brian Madajewski, et al.. (2018). Ultrasmall targeted nanoparticles with engineered antibody fragments for imaging detection of HER2-overexpressing breast cancer. Nature Communications. 9(1). 4141–4141. 142 indexed citations
8.
Balachandran, Vinod P., Arshi Arora, Mithat Gönen, et al.. (2016). A Validated Prognostic Multigene Expression Assay for Overall Survival in Resected Colorectal Cancer Liver Metastases. Clinical Cancer Research. 22(10). 2575–2582. 29 indexed citations
9.
Brown, Fiona C., Paolo Cifani, Esther Drill, et al.. (2016). Genomics of primary chemoresistance and remission induction failure in paediatric and adult acute myeloid leukaemia. British Journal of Haematology. 176(1). 86–91. 21 indexed citations
10.
Almendro, Vanessa, Hee Jung Kim, Yu-Kang Cheng, et al.. (2014). Genetic and Phenotypic Diversity in Breast Tumor Metastases. Cancer Research. 74(5). 1338–1348. 129 indexed citations
11.
Weber, Jeffrey S., Laura A. Levit, Peter C. Adamson, et al.. (2014). American Society of Clinical Oncology Policy Statement Update: The Critical Role of Phase I Trials in Cancer Research and Treatment. Journal of Clinical Oncology. 33(3). 278–284. 81 indexed citations
12.
Hakimi, A. Ari, Irina Ostrovnaya, Boris Reva, et al.. (2013). Adverse Outcomes in Clear Cell Renal Cell Carcinoma with Mutations of 3p21 Epigenetic Regulators BAP1 and SETD2 : A Report by MSKCC and the KIRC TCGA Research Network. Clinical Cancer Research. 19(12). 3259–3267. 267 indexed citations
13.
Weeda, Víola B., Guochang Huang, Sarina Bains, et al.. (2013). Oncogenic Function of SCCRO5/DCUN1D5 Requires Its Neddylation E3 Activity and Nuclear Localization. Clinical Cancer Research. 20(2). 372–381. 19 indexed citations
14.
Martins, Filipe Correia, Subhajyoti De, Vanessa Almendro, et al.. (2012). Evolutionary Pathways in BRCA1-Associated Breast Tumors. Cancer Discovery. 2(6). 503–511. 95 indexed citations
15.
Sawai, Ayana, Sarat Chandarlapaty, Heidi Greulich, et al.. (2008). Inhibition of Hsp90 Down-regulates Mutant Epidermal Growth Factor Receptor (EGFR) Expression and Sensitizes EGFR Mutant Tumors to Paclitaxel. Cancer Research. 68(2). 589–596. 145 indexed citations
16.
Tse, Archie, David S. Klimstra, Mithat Gönen, et al.. (2008). A Phase 1 Dose-Escalation Study of Irinotecan in Combination with 17-Allylamino-17-Demethoxygeldanamycin in Patients with Solid Tumors. Clinical Cancer Research. 14(20). 6704–6711. 49 indexed citations
17.
Sofocleous, Constantinos T., Elena N. Petre, Ivan K. Ip, et al.. (2008). Abstract No. 59: Management of Hepatic Neuroendocrine Metastases with Bland Hepatic Arterial Embolization. Journal of Vascular and Interventional Radiology. 19(2). S24–S24. 1 indexed citations
18.
Robbins, Richard J., Qiang Wan, Ravinder K. Grewal, et al.. (2006). Real-Time Prognosis for Metastatic Thyroid Carcinoma Based on 2-[18F]Fluoro-2-Deoxy-d-Glucose-Positron Emission Tomography Scanning. The Journal of Clinical Endocrinology & Metabolism. 91(2). 498–505. 403 indexed citations
19.
Gönen, Mithat, et al.. (2006). A retrospective analysis of the impact of 18F-FDG PET scans on clinical management of 133 breast cancer patients.. PubMed. 50(1). 61–7. 22 indexed citations
20.
Güre, Ali O., Ramon Chua, Barbara Williamson, et al.. (2005). Cancer-Testis Genes Are Coordinately Expressed and Are Markers of Poor Outcome in Non–Small Cell Lung Cancer. Clinical Cancer Research. 11(22). 8055–8062. 294 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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