Sushil Kumar

4.1k total citations
102 papers, 3.0k citations indexed

About

Sushil Kumar is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Sushil Kumar has authored 102 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Oncology, 44 papers in Molecular Biology and 23 papers in Immunology. Recurrent topics in Sushil Kumar's work include Pancreatic and Hepatic Oncology Research (37 papers), Glycosylation and Glycoproteins Research (24 papers) and Cancer Cells and Metastasis (11 papers). Sushil Kumar is often cited by papers focused on Pancreatic and Hepatic Oncology Research (37 papers), Glycosylation and Glycoproteins Research (24 papers) and Cancer Cells and Metastasis (11 papers). Sushil Kumar collaborates with scholars based in United States, India and Germany. Sushil Kumar's co-authors include Surinder K. Batra, Maneesh Jain, Gurcharan Kaur, Shailendra K. Gautam, Satyanarayana Rachagani, Moorthy P. Ponnusamy, Aaron R. Sasson, Rakesh Bhatia, Christopher M. Thompson and Navneet Momi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and PLoS ONE.

In The Last Decade

Sushil Kumar

98 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sushil Kumar United States 31 1.3k 1.2k 594 390 340 102 3.0k
Jawed A. Siddiqui United States 31 1.5k 1.1× 673 0.5× 300 0.5× 353 0.9× 236 0.7× 79 2.8k
Hee Gu Lee South Korea 37 2.0k 1.5× 729 0.6× 854 1.4× 522 1.3× 259 0.8× 140 3.8k
Meritxell Gironella Spain 35 1.5k 1.1× 752 0.6× 560 0.9× 878 2.3× 628 1.8× 64 3.4k
Nasser Hashemi Goradel Iran 23 1.2k 0.9× 744 0.6× 571 1.0× 450 1.2× 190 0.6× 33 2.9k
Marta Palmieri Italy 38 1.9k 1.4× 901 0.7× 359 0.6× 786 2.0× 292 0.9× 77 3.4k
Hui Hua China 24 1.8k 1.3× 562 0.5× 388 0.7× 501 1.3× 151 0.4× 63 3.0k
Bassam R. Ali United Arab Emirates 32 1.6k 1.2× 477 0.4× 377 0.6× 185 0.5× 194 0.6× 172 3.4k
Kun Guo China 33 1.7k 1.3× 803 0.7× 416 0.7× 795 2.0× 265 0.8× 122 3.3k
Kang‐Yell Choi South Korea 41 3.2k 2.4× 1.1k 0.9× 326 0.5× 601 1.5× 273 0.8× 143 4.7k
Song Iy Han South Korea 30 1.6k 1.2× 837 0.7× 326 0.5× 721 1.8× 246 0.7× 75 2.9k

Countries citing papers authored by Sushil Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Sushil Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sushil Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Sushil Kumar. A scholar is included among the top collaborators of Sushil Kumar 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 Sushil Kumar. Sushil Kumar 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.
Atri, Pranita, Ashu Shah, Satyanarayana Rachagani, et al.. (2024). Connectivity mapping-based identification of pharmacological inhibitor targeting HDAC6 in aggressive pancreatic ductal adenocarcinoma. npj Precision Oncology. 8(1). 66–66. 2 indexed citations
2.
Haab, Brian B., Qian Lu, Ben Staal, et al.. (2024). A rigorous multi-laboratory study of known PDAC biomarkers identifies increased sensitivity and specificity over CA19-9 alone. Cancer Letters. 604. 217245–217245. 5 indexed citations
3.
Batra, Surinder K., et al.. (2023). Epigenetic regulation of cancer-associated fibroblast heterogeneity. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1878(3). 188901–188901. 26 indexed citations
4.
Prajapati, Dipakkumar R., Abhilasha Purohit, Sugandha Saxena, et al.. (2023). Small molecule antagonist of CXCR2 and CXCR1 inhibits tumor growth, angiogenesis, and metastasis in pancreatic cancer. Cancer Letters. 563. 216185–216185. 19 indexed citations
5.
Ganguly, Koelina, Ashu Shah, Pranita Atri, et al.. (2022). Chemokine-mucinome interplay in shaping the heterogeneous tumor microenvironment of pancreatic cancer. Seminars in Cancer Biology. 86(Pt 2). 511–520. 18 indexed citations
6.
Nallasamy, Palanisamy, Rama Krishna Nimmakayala, Saswati Karmakar, et al.. (2021). Pancreatic Tumor Microenvironment Factor Promotes Cancer Stemness via SPP1–CD44 Axis. Gastroenterology. 161(6). 1998–2013.e7. 169 indexed citations
7.
Cannon, Andrew, Christopher M. Thompson, H. Carlo Maurer, et al.. (2020). CXCR3 and Cognate Ligands are Associated with Immune Cell Alteration and Aggressiveness of Pancreatic Ductal Adenocarcinoma. Clinical Cancer Research. 26(22). 6051–6063. 15 indexed citations
8.
Hall, Bradley R., Andrew Cannon, Pranita Atri, et al.. (2019). No Survival Advantage Exists for Patients Undergoing Loop Ileostomy for Clostridium Difficile Colitis. Graduate Medical Education Research Journal. 1(1).
9.
Wang, Yan, Sushil Kumar, Satyanarayana Rachagani, et al.. (2016). Polyplex-mediated inhibition of chemokine receptor CXCR4 and chromatin-remodeling enzyme NCOA3 impedes pancreatic cancer progression and metastasis. Biomaterials. 101. 108–120. 30 indexed citations
10.
Kataria, Hardeep, Sushil Kumar, Harshita Chaudhary, & Gurcharan Kaur. (2015). Withania somnifera Suppresses Tumor Growth of Intracranial Allograft of Glioma Cells. Molecular Neurobiology. 53(6). 4143–4158. 33 indexed citations
11.
Joshi, Suhasini, Sushil Kumar, Sangeeta Bafna, et al.. (2015). Genetically engineered mucin mouse models for inflammation and cancer. Cancer and Metastasis Reviews. 34(4). 593–609. 26 indexed citations
12.
Kumar, Sushil, Srustidhar Das, Satyanarayana Rachagani, et al.. (2014). NCOA3-mediated upregulation of mucin expression via transcriptional and post-translational changes during the development of pancreatic cancer. Oncogene. 34(37). 4879–4889. 36 indexed citations
13.
Kamal, Saurabh, et al.. (2013). Bilateral Interstitial Keratitis and Granulomatous Uveitis of Tubercular Origin. Eye & Contact Lens Science & Clinical Practice. 40(2). e13–e15. 15 indexed citations
14.
Kaur, Sukhwinder, Sushil Kumar, Navneet Momi, Aaron R. Sasson, & Surinder K. Batra. (2013). Mucins in pancreatic cancer and its microenvironment. Nature Reviews Gastroenterology & Hepatology. 10(10). 607–620. 230 indexed citations
15.
16.
Singh, Digvijay, Madan M. Gupta, Arun Kumar Tripathi, Veena Prajapati, & Sushil Kumar. (2004). Arjunetin from Terminalia arjuna as an insect feeding‐deterrent and growth inhibitor. Phytotherapy Research. 18(2). 131–134. 21 indexed citations
17.
Jain, D. C., et al.. (2003). Pilot Plant Processing Data for the Isolation of Artemisinin from the New Variety of Artemisia annua ‘Jeevanraksha’. Journal of Scientific & Industrial Research. 62(5). 457–461. 6 indexed citations
18.
Kiran, Usha, et al.. (2002). Urease and nitrification inhibitors from natural source-Artemisia annua. Journal of the Indian Society of Soil Science. 50(4). 508–510. 3 indexed citations
19.
Biswas, Jyotirmay, et al.. (2002). Detection of Mycobacterium Tuberculosis by Nested Polymerase Chain Reaction in a Case of Subconjunctival Tuberculosis. Cornea. 21(1). 123–125. 20 indexed citations
20.
Sangwan, R. S., S. K. Mishra, & Sushil Kumar. (1998). Direct Fluorometry of Phase-Extracted Tryptamine-Based Fast Quantitative Assay ofl-Tryptophan Decarboxylase fromCatharanthus roseusLeaf. Analytical Biochemistry. 255(1). 39–46. 22 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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