Vikram Kansra

1.5k citations
52 papers · 1.2k indexed · h-index 19

Impact in

  • Oncology top 10%
    • PARP inhibition in cancer therapy
    • Cancer Immunotherapy and Biomarkers
  • Hepatology top 10%

Papers in

Vikram Kansra

51 papers receiving 1.1k citations

Peers

Vikram Kansra
Comparison fields: 5 of 86
  • Oncology 346
  • Hepatology 82
  • Immunology 197
  • Cellular and Molecular Neuroscience 133
  • Physiology 184
Replace Jean G. Sathish with:
Jean G. Sathish United Kingdom
Xiaoyun Shen China
Xi Li China
Yingsong Wu China
Heath C. Thomas United States
Ming‐Derg Lai Taiwan
Deguang Sun China
Neil A. Jones United Kingdom
Jeong‐Min Kim South Korea
Vikram Kansra relative to Jean G. Sathish United Kingdom Jean G. Sathish's profile →
Citations per field
00.5×
Jean G. Sathish · 1×
Citations per year

Countries citing papers authored by Vikram Kansra

Since Specialization
Citations

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

Fields of papers citing papers by Vikram Kansra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Vikram Kansra, 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 Vikram Kansra Line = papers co-authored together Vikram Kansra links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202364
2 20226
3 20183
4 201814
5 20178
6 201730
7 20178
8 20177
9 201725
10 201714
11 2013197
12 201213
13 200910
14 200911
15 200722
16 200123
17 200149
18 199916
19 1998120
20 199518

About Vikram Kansra

Vikram Kansra is a scholar working on Anesthesiology and Pain Medicine, Oncology, Reproductive Medicine, Hepatology and Statistics and Probability, having authored 52 papers that have together received 1.2k indexed citations. Recurring topics across this work include Nausea and vomiting management (14 papers), Anesthesia and Pain Management (11 papers), PARP inhibition in cancer therapy (11 papers), Ion Transport and Channel Regulation (8 papers), Anesthesia and Sedative Agents (5 papers), Ovarian cancer diagnosis and treatment (4 papers), Pathogenesis and Treatment of Hiccups (4 papers) and Statistical Methods in Clinical Trials (3 papers). The work is most often cited by research in Oncology (346 citations), Hepatology (82 citations), Immunology (197 citations), Cellular and Molecular Neuroscience (133 citations) and Physiology (184 citations). Vikram Kansra has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Mustafa F. Lokhandwala, Roberto D. Polakiewicz, Michael J. Comb, Lydia F. Dorner, Tahir Hussain, Sharon Lu, Shefali Agarwal, M F Lokhandwala, Sujata Arora and Allen Poma. Their work appears in journals such as Journal of Clinical Oncology, The Journal of Clinical Pharmacology, Annals of Oncology, Molecular Cancer Therapeutics and Investigational New Drugs.

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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