Sandeep Kumar

2.2k citations
62 papers · 1.6k indexed · h-index 22

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Protease and Inhibitor Mechanisms
  • Immunology top 10%
    • Immune Cell Function and Interaction

Papers in

Sandeep Kumar

61 papers receiving 1.5k citations

Peers

Sandeep Kumar
Comparison fields: 5 of 115
  • Cancer Research 329
  • Immunology 322
  • Oncology 351
  • Molecular Biology 767
  • Hematology 108
Replace Li Xu with:
Li Xu China
Katarzyna Piwocka Poland
Kwan‐Hyuck Baek South Korea
Svetlana Karakhanova Germany
Ivana Vancurova United States
Frederik H. Igney Germany
Yusuke Saito Japan
Tomasz P. Rygiel Poland
Min Lü China
Sandeep Kumar relative to Li Xu China Li Xu's profile →
Citations per field
00.5×1.5×
Li Xu · 1×
Citations per year

Countries citing papers authored by Sandeep Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Sandeep Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sandeep Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sandeep Kumar Line = papers co-authored together Sandeep Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20241
3 20242
4 20241
5 20242
6 202410
7 20239
8 202311
9 202314
10 20221
11 202117
12 202017
13 201938
14 201898
15 201712
16 201724
17 201610
18 201560
19 201599
20 201578

About Sandeep Kumar

Sandeep Kumar is a scholar working on Cancer Research, Immunology, Oncology, Pathology and Forensic Medicine and Molecular Biology, having authored 62 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (10 papers), Melanoma and MAPK Pathways (9 papers), Cancer Mechanisms and Therapy (8 papers), Mitochondrial Function and Pathology (7 papers), Epigenetics and DNA Methylation (5 papers), Cancer Immunotherapy and Biomarkers (5 papers), T-cell and B-cell Immunology (5 papers) and Cancer Cells and Metastasis (4 papers). The work is most often cited by research in Cancer Research (329 citations), Immunology (322 citations), Oncology (351 citations), Molecular Biology (767 citations) and Hematology (108 citations). Sandeep Kumar has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Corrado Baglioni, Dhyan Chandra, Neelu Yadav, Ajay Kumar Chaudhary, Ajay Rana, Tariq A. Bhat, Jordan O’Malley, Albert J.T. Millis, Rahul Kumar and Basabi Rana. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cancer Letters, Cancer Research, Drug Discovery Today and Biochimica et Biophysica Acta (BBA) - Reviews on Cancer.

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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