Sunil Krishnan

12.1k total citations · 2 hit papers
154 papers, 8.8k citations indexed

About

Sunil Krishnan is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Sunil Krishnan has authored 154 papers receiving a total of 8.8k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Oncology, 55 papers in Pulmonary and Respiratory Medicine and 40 papers in Surgery. Recurrent topics in Sunil Krishnan's work include Colorectal and Anal Carcinomas (26 papers), Radiation Therapy and Dosimetry (25 papers) and Colorectal Cancer Surgical Treatments (23 papers). Sunil Krishnan is often cited by papers focused on Colorectal and Anal Carcinomas (26 papers), Radiation Therapy and Dosimetry (25 papers) and Colorectal Cancer Surgical Treatments (23 papers). Sunil Krishnan collaborates with scholars based in United States, China and India. Sunil Krishnan's co-authors include Parmeswaran Diagaradjane, Christopher H. Crane, Amit Deorukhkar, Prajnan Das, Sushovan Guha, Bharat B. Aggarwal, Miguel A. Rodrı́guez-Bigas, John M. Skibber, Sang Hyun Cho and Bernard L. Jones and has published in prestigious journals such as Advanced Materials, Journal of Clinical Oncology and Nano Letters.

In The Last Decade

Sunil Krishnan

153 papers receiving 8.7k citations

Hit 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.

PDL1 Regulation by p53 via miR-34

2015 535 citations Sunil Krishnan et al. JNCI Journal of the National Cancer Institute profile →
Neoadjuvant Treatment Response As an Early Response Indicator for Patients With Rectal Cancer

2012 379 citations Barry W. Feig, Prajnan Das et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sunil Krishnan United States	52	3.3k	2.4k	2.1k	2.0k	1.7k	154	8.8k
Sunil Krishnan United States	55	3.7k 1.1×	2.9k 1.2×	1.8k 0.9×	2.1k 1.1×	1.0k 0.6×	197	9.1k
Željko Vujašković United States	56	1.4k 0.4×	2.1k 0.9×	2.9k 1.4×	845 0.4×	2.4k 1.4×	169	9.2k
Paul Okunieff United States	50	2.1k 0.6×	3.7k 1.5×	2.4k 1.2×	1.6k 0.8×	1.3k 0.8×	233	11.3k
Nicolaas A.P. Franken Netherlands	31	1.6k 0.5×	1.3k 0.5×	2.9k 1.4×	516 0.3×	1.7k 1.0×	117	6.8k
Robert G. Bristow Canada	64	4.2k 1.3×	4.8k 2.0×	6.8k 3.3×	1.2k 0.6×	1.3k 0.7×	289	14.1k
Michael Schäfers Germany	56	1.8k 0.5×	2.4k 1.0×	2.9k 1.4×	1.3k 0.7×	1.1k 0.6×	373	11.5k
Dennis E. Hallahan United States	66	3.2k 1.0×	1.9k 0.8×	6.5k 3.2×	641 0.3×	1.3k 0.8×	267	13.3k
Luka Milas United States	53	4.5k 1.4×	2.8k 1.2×	3.6k 1.8×	1.0k 0.5×	533 0.3×	201	9.9k
Michael R. Horsman Denmark	55	1.7k 0.5×	2.1k 0.8×	3.5k 1.7×	483 0.2×	2.7k 1.6×	252	10.2k
Wilson Roa Canada	40	1.1k 0.3×	3.3k 1.4×	1.3k 0.7×	305 0.2×	903 0.5×	158	7.0k

Countries citing papers authored by Sunil Krishnan

Since Specialization

Citations

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

Fields of papers citing papers by Sunil Krishnan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunil Krishnan

This figure shows the co-authorship network connecting the top 25 collaborators of Sunil Krishnan. A scholar is included among the top collaborators of Sunil Krishnan 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 Sunil Krishnan. Sunil Krishnan 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

Jayarathna, Sandun, Amrit Kaphle, Sunil Krishnan, & Sang Hyun Cho. (2024). Nanoscale gold nanoparticle (GNP)‐laden tumor cell model and its use for estimation of intracellular dose from GNP‐induced secondary electrons. Medical Physics. 51(9). 6276–6291. 1 indexed citations

Singh, Pankaj K., Amit Deorukhkar, Bhanu Prasad Venkatesulu, et al.. (2019). Exploiting Arginine Auxotrophy with Pegylated Arginine Deiminase (ADI-PEG20) to Sensitize Pancreatic Cancer to Radiotherapy via Metabolic Dysregulation. Molecular Cancer Therapeutics. 18(12). 2381–2393. 28 indexed citations

Gunther, Jillian R., et al.. (2017). Quantitative Electrochemical DNA Microarray on a Monolith Electrode with Ten Attomolar Sensitivity, 100 % Specificity, and Zero Background. ChemElectroChem. 5(3). 429–433. 5 indexed citations

Verma, Vivek, Charles B. Simone, Sunil Krishnan, et al.. (2017). The Rise of Radiomics and Implications for Oncologic Management. JNCI Journal of the National Cancer Institute. 109(7). 107 indexed citations

Cho, Sang Hyun, Francisco J. Reynoso, Maureen Aliru, et al.. (2017). Radiosensitization of Prostate Cancers In Vitro and In Vivo to Erbium-filtered Orthovoltage X-rays Using Actively Targeted Gold Nanoparticles. Scientific Reports. 7(1). 18044–18044. 39 indexed citations

Reynoso, Francisco J., Nivedh Manohar, Sunil Krishnan, & Sang Hyun Cho. (2014). Design of an Yb‐169 source optimized for gold nanoparticle‐aided radiation therapy. Medical Physics. 41(10). 101709–101709. 9 indexed citations

Prasad, Sahdeo, Vivek R. Yadav, Bokyung Sung, et al.. (2012). Ursolic Acid Inhibits Growth and Metastasis of Human Colorectal Cancer in an Orthotopic Nude Mouse Model by Targeting Multiple Cell Signaling Pathways: Chemosensitization with Capecitabine. Clinical Cancer Research. 18(18). 4942–4953. 152 indexed citations

Kaur, Punit, Ganachari M. Nagaraja, Hongying Zheng, et al.. (2012). A mouse model for triple-negative breast cancer tumor-initiating cells (TNBC-TICs) exhibits similar aggressive phenotype to the human disease. BMC Cancer. 12(1). 120–120. 150 indexed citations

Yadav, Vivek R., Sahdeo Prasad, Bokyung Sung, et al.. (2011). Boswellic acid inhibits growth and metastasis of human colorectal cancer in orthotopic mouse model by downregulating inflammatory, proliferative, invasive and angiogenic biomarkers. International Journal of Cancer. 130(9). 2176–2184. 88 indexed citations

10.

Kelly, Patrick D., Prajnan Das, Gauri R. Varadhachary, et al.. (2011). Role of Definitive Radiation Therapy in Carcinoma of Unknown Primary in the Abdomen and Pelvis. International Journal of Radiation Oncology*Biology*Physics. 82(5). 2012–2017. 2 indexed citations

11.

Kunnumakkara, Ajaikumar B., Bokyung Sung, Jayaraj Ravindran, et al.. (2010). γ-Tocotrienol Inhibits Pancreatic Tumors and Sensitizes Them to Gemcitabine Treatment by Modulating the Inflammatory Microenvironment. Cancer Research. 70(21). 8695–8705. 107 indexed citations

12.

Jones, Bernard L., Sunil Krishnan, & Sang Hyun Cho. (2010). Estimation of microscopic dose enhancement factor around gold nanoparticles by Monte Carlo calculations. Medical Physics. 37(7Part1). 3809–3816. 193 indexed citations

13.

Deorukhkar, Amit & Sunil Krishnan. (2010). Targeting inflammatory pathways for tumor radiosensitization. Biochemical Pharmacology. 80(12). 1904–1914. 117 indexed citations

14.

Briere, Tina M., Sam Beddar, Peter Balter, et al.. (2009). Respiratory gating with EPID-based verification: the MDACC experience. Physics in Medicine and Biology. 54(11). 3379–3391. 18 indexed citations

15.

Sandur, Santosh K., Amit Deorukhkar, Manoj K. Pandey, et al.. (2009). Curcumin Modulates the Radiosensitivity of Colorectal Cancer Cells by Suppressing Constitutive and Inducible NF-κB Activity. International Journal of Radiation Oncology*Biology*Physics. 75(2). 534–542. 162 indexed citations

16.

Diagaradjane, Parmeswaran, Amit Deorukhkar, Shujun Shentu, et al.. (2008). Imaging Epidermal Growth Factor Receptor Expression In vivo : Pharmacokinetic and Biodistribution Characterization of a Bioconjugated Quantum Dot Nanoprobe. Clinical Cancer Research. 14(3). 731–741. 143 indexed citations

17.

Tong, Zhimin, Ajaikumar B. Kunnumakkara, Huamin Wang, et al.. (2008). Neutrophil Gelatinase–Associated Lipocalin: A Novel Suppressor of Invasion and Angiogenesis in Pancreatic Cancer. Cancer Research. 68(15). 6100–6108. 144 indexed citations

18.

Badgwell, Brian D., Janice N. Cormier, Yan Xing, et al.. (2008). Attempted Salvage Resection for Recurrent Gastric or Gastroesophageal Cancer. Annals of Surgical Oncology. 16(1). 42–50. 9 indexed citations

19.

Krishnan, Sunil, Laura A. Dawson, Jinsil Seong, et al.. (2008). Radiotherapy for Hepatocellular Carcinoma: An Overview. Annals of Surgical Oncology. 15(4). 1015–1024. 75 indexed citations

20.

Kim, Michelle M., Paul F. Mansfield, Prajnan Das, et al.. (2008). Chemoradiation Therapy for Potentially Resectable Gastric Cancer: Clinical Outcomes Among Patients Who Do Not Undergo Planned Surgery. International Journal of Radiation Oncology*Biology*Physics. 71(1). 167–172. 7 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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