Samir Hanash

50.4k total citations · 5 hit papers
472 papers, 28.7k citations indexed

About

Samir Hanash is a scholar working on Molecular Biology, Spectroscopy and Oncology. According to data from OpenAlex, Samir Hanash has authored 472 papers receiving a total of 28.7k indexed citations (citations by other indexed papers that have themselves been cited), including 299 papers in Molecular Biology, 105 papers in Spectroscopy and 97 papers in Oncology. Recurrent topics in Samir Hanash's work include Advanced Proteomics Techniques and Applications (99 papers), Glycosylation and Glycoproteins Research (45 papers) and Monoclonal and Polyclonal Antibodies Research (44 papers). Samir Hanash is often cited by papers focused on Advanced Proteomics Techniques and Applications (99 papers), Glycosylation and Glycoproteins Research (45 papers) and Monoclonal and Polyclonal Antibodies Research (44 papers). Samir Hanash collaborates with scholars based in United States, Japan and France. Samir Hanash's co-authors include David E. Misek, Rork Kuick, Thomas J. Giordano, John R. Strahler, Vítor M. Faça, Sharon J. Pitteri, David G. Beer, Jeremy M. G. Taylor, Mark B. Orringer and Guoan Chen and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Samir Hanash

454 papers receiving 28.1k citations

Hit Papers

5 papers align trajectories

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.

Gene-expression profiles predict survival of patients with lung adenocarcinoma

2002 1.5k citations Thomas J. Giordano, David E. Misek et al. profile →
Discordant Protein and mRNA Expression in Lung Adenocarcinomas

2002 790 citations Jeremy M. G. Taylor, David E. Misek et al. profile →
Disease proteomics

2003 711 citations Samir Hanash profile →
Mining the plasma proteome for cancer biomarkers

2008 689 citations Samir Hanash, Sharon J. Pitteri et al. profile →
JAK/STAT3-Regulated Fatty Acid β-Oxidation Is Critical for Breast Cancer Stem Cell Self-Renewal and Chemoresistance

2017 636 citations Johannes F. Fahrmann, S. C. Tripathi et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Samir Hanash United States	86	17.2k	5.7k	5.2k	4.8k	4.4k	472	28.7k
Amanda G. Paulovich United States	40	26.0k 1.5×	7.0k 1.2×	8.3k 1.6×	6.3k 1.3×	2.5k 0.6×	87	40.1k
Steven A. Carr United States	108	31.7k 1.8×	5.4k 0.9×	4.0k 0.8×	3.5k 0.7×	9.2k 2.1×	372	44.4k
Akhilesh Pandey United States	89	20.8k 1.2×	3.2k 0.6×	3.6k 0.7×	2.8k 0.6×	7.8k 1.8×	502	31.6k
Elise C. Kohn United States	69	11.7k 0.7×	6.8k 1.2×	4.1k 0.8×	1.9k 0.4×	2.4k 0.5×	327	21.1k
Michael A. Gillette United States	26	25.8k 1.5×	6.5k 1.2×	8.4k 1.6×	6.1k 1.3×	2.1k 0.5×	45	40.3k
John N. Weinstein United States	85	22.9k 1.3×	6.9k 1.2×	7.1k 1.4×	2.2k 0.5×	1.3k 0.3×	322	34.9k
Emanuel F. Petricoin United States	66	11.4k 0.7×	4.6k 0.8×	3.1k 0.6×	1.7k 0.4×	5.4k 1.2×	259	18.3k
Setsuo Hirohashi Japan	90	15.3k 0.9×	8.7k 1.5×	4.6k 0.9×	2.6k 0.5×	940 0.2×	441	28.4k
Robert C. Bast United States	105	17.8k 1.0×	13.7k 2.4×	9.6k 1.9×	6.9k 1.4×	1.2k 0.3×	608	44.8k
Kevan M. Shokat United States	96	24.3k 1.4×	6.9k 1.2×	2.4k 0.5×	4.0k 0.8×	829 0.2×	305	34.2k

Countries citing papers authored by Samir Hanash

Since Specialization

Citations

This map shows the geographic impact of Samir Hanash'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 Samir Hanash with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samir Hanash more than expected).

Fields of papers citing papers by Samir Hanash

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samir Hanash. 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 Samir Hanash. The network helps show where Samir Hanash may publish in the future.

Co-authorship network of co-authors of Samir Hanash

This figure shows the co-authorship network connecting the top 25 collaborators of Samir Hanash. A scholar is included among the top collaborators of Samir Hanash 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 Samir Hanash. Samir Hanash is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Fahrmann, Johannes F., Michele Yip-Schneider, Jennifer B. Dennison, et al.. (2025). Lead time trajectory of blood-based protein biomarkers for detection of pancreatic cancer based on repeat testing. Cancer Letters. 612. 217450–217450. 4 indexed citations

Fan, Yibo, Shumei Song, Yuan Li, et al.. (2023). Galectin-3 Cooperates with CD47 to Suppress Phagocytosis and T-cell Immunity in Gastric Cancer Peritoneal Metastases. Cancer Research. 83(22). 3726–3738. 22 indexed citations

Kobayashi, Makoto, Hiroyuki Katayama, Ehsan Irajizad, et al.. (2020). Proteome Profiling Uncovers an Autoimmune Response Signature That Reflects Ovarian Cancer Pathogenesis. Cancers. 12(2). 485–485. 7 indexed citations

Bocci, Federico, S. C. Tripathi, Jason T. George, et al.. (2019). NRF2 activates a partial epithelial-mesenchymal transition and is maximally present in a hybrid epithelial/mesenchymal phenotype. Integrative Biology. 11(6). 251–263. 104 indexed citations

Khosravi, Nasim, Mauricio S. Caetano, Amber M. Cumpian, et al.. (2018). IL22 Promotes Kras -Mutant Lung Cancer by Induction of a Protumor Immune Response and Protection of Stemness Properties. Cancer Immunology Research. 6(7). 788–797. 49 indexed citations

Tripathi, S. C., Johannes F. Fahrmann, Müge Çeliktaş, et al.. (2017). MCAM Mediates Chemoresistance in Small-Cell Lung Cancer via the PI3K/AKT/SOX2 Signaling Pathway. Cancer Research. 77(16). 4414–4425. 85 indexed citations

Mustachio, Lisa Maria, Yun Lu, Laura J. Tafe, et al.. (2017). Deubiquitinase USP18 Loss Mislocalizes and Destabilizes KRAS in Lung Cancer. Molecular Cancer Research. 15(7). 905–914. 34 indexed citations

Caetano, Mauricio S., Huiyuan Zhang, Amber M. Cumpian, et al.. (2016). IL6 Blockade Reprograms the Lung Tumor Microenvironment to Limit the Development and Progression of K-ras–Mutant Lung Cancer. Cancer Research. 76(11). 3189–3199. 169 indexed citations

Taguchi, Ayumu, Qingxiang Yan, Yuzheng Zhang, et al.. (2015). MAPRE1 as a Plasma Biomarker for Early-Stage Colorectal Cancer and Adenomas. Cancer Prevention Research. 8(11). 1112–1119. 26 indexed citations

10.

Taguchi, Ayumu, Allen D. Taylor, Jaime Rodriguez‐Canales, et al.. (2014). A Search for Novel Cancer/Testis Antigens in Lung Cancer Identifies VCX/Y Genes, Expanding the Repertoire of Potential Immunotherapeutic Targets. Cancer Research. 74(17). 4694–4705. 36 indexed citations

11.

Amon, Lynn M., Sharon J. Pitteri, Christopher I. Li, et al.. (2012). Concordant Release of Glycolysis Proteins into the Plasma Preceding a Diagnosis of ER+ Breast Cancer. Cancer Research. 72(8). 1935–1942. 26 indexed citations

12.

Ladd, Jon J., Melissa M. Johnson, Qing Zhang, et al.. (2012). Increased Plasma Levels of the APC-Interacting Protein MAPRE1, LRG1, and IGFBP2 Preceding a Diagnosis of Colorectal Cancer in Women. Cancer Prevention Research. 5(4). 655–664. 79 indexed citations

13.

Kani, Kian, Vítor M. Faça, Lindsey D. Hughes, et al.. (2012). Quantitative Proteomic Profiling Identifies Protein Correlates to EGFR Kinase Inhibition. Molecular Cancer Therapeutics. 11(5). 1071–1081. 6 indexed citations

14.

Ladd, Jon J., Timothy Chao, Melissa M. Johnson, et al.. (2012). Autoantibody Signatures Involving Glycolysis and Splicesome Proteins Precede a Diagnosis of Breast Cancer among Postmenopausal Women. Cancer Research. 73(5). 1502–1513. 56 indexed citations

15.

Pitteri, Sharon J., Karen S. Kelly‐Spratt, Kay E. Gurley, et al.. (2011). Tumor Microenvironment–Derived Proteins Dominate the Plasma Proteome Response during Breast Cancer Induction and Progression. Cancer Research. 71(15). 5090–5100. 69 indexed citations

16.

Schliekelman, Mark J., Don L. Gibbons, Vítor M. Faça, et al.. (2011). Targets of the Tumor Suppressor miR-200 in Regulation of the Epithelial–Mesenchymal Transition in Cancer. Cancer Research. 71(24). 7670–7682. 110 indexed citations

17.

Pitteri, Sharon J., Lynn M. Amon, Yuzheng Zhang, et al.. (2010). Detection of Elevated Plasma Levels of Epidermal Growth Factor Receptor Before Breast Cancer Diagnosis among Hormone Therapy Users. Cancer Research. 70(21). 8598–8606. 36 indexed citations

18.

Vilar, Eduardo, Bhramar Mukherjee, Rork Kuick, et al.. (2009). Gene Expression Patterns in Mismatch Repair-Deficient Colorectal Cancers Highlight the Potential Therapeutic Role of Inhibitors of the Phosphatidylinositol 3-Kinase-AKT-Mammalian Target of Rapamycin Pathway. Clinical Cancer Research. 15(8). 2829–2839. 46 indexed citations

19.

Menon, Rajasree, Qing Zhang, Damian Fermin, et al.. (2008). Identification of Novel Alternative Splice Isoforms of Circulating Proteins in a Mouse Model of Human Pancreatic Cancer. Cancer Research. 69(1). 300–309. 60 indexed citations

20.

Paczesny, Sophie, Oleg I. Krijanovski, Thomas Braun, et al.. (2008). A biomarker panel for acute graft-versus-host disease. Blood. 113(2). 273–278. 290 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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