Vikas Kundra

7.9k citations
113 papers · 4.0k indexed · h-index 32

Impact in

Papers in

Vikas Kundra

108 papers receiving 3.9k citations

Peers

Vikas Kundra
Comparison fields: 5 of 120
  • Radiology, Nuclear Medicine and Imaging 781
  • Cell Biology 488
  • Cancer Research 426
  • Immunology and Allergy 170
  • Molecular Biology 1.9k
Replace William P. J. Leenders with:
William P. J. Leenders Netherlands
Kurt R. Zinn United States
Ferdinand Hofstaedter Germany
Marc Mareel Belgium
Roberto Ronca Italy
R K Jain United States
Uwe Zangemeister‐Wittke Switzerland
Andrew I. Minchinton Canada
Wijnand Helfrich Netherlands
Johanna Lahdenranta United States
Vikas Kundra relative to William P. J. Leenders Netherlands William P. J. Leenders's profile →
Citations per field
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William P. J. Leenders · 1×
Citations per year

Countries citing papers authored by Vikas Kundra

Since Specialization
Citations

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

Fields of papers citing papers by Vikas Kundra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20230
4 202112
5 202115
6 20208
7 201841
8 201631
9 20133
10 20135
11 2011205
12 20116
13 200958
14 2008230
15
Androgen receptor-negative human prostate cancer cells induce osteogenesis through FGF9-mediated mechanisms
200810
16 200794
17 200778
18
A novel synthetic hTERT-Mini-CMV chimera promoter-driven tumor-selective and high-efficiency expression of transgene for systemic cancer gene therapy
20051
19 20052
20 200321

About Vikas Kundra

Vikas Kundra is a scholar working on Radiology, Nuclear Medicine and Imaging, Reproductive Medicine, Pulmonary and Respiratory Medicine, Biotechnology and Cancer Research, having authored 113 papers that have together received 4.0k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (15 papers), Prostate Cancer Treatment and Research (15 papers), Medical Imaging Techniques and Applications (14 papers), Prostate Cancer Diagnosis and Treatment (14 papers), Advanced MRI Techniques and Applications (12 papers), Ovarian cancer diagnosis and treatment (11 papers), Renal cell carcinoma treatment (9 papers) and Virus-based gene therapy research (9 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (781 citations), Cell Biology (488 citations), Cancer Research (426 citations), Immunology and Allergy (170 citations) and Molecular Biology (1.9k citations). Vikas Kundra has collaborated with scholars based in United States, India and Argentina. Frequent co-authors include Bruce R. Zetter, Cher Heng Tan, Wei Wei, Gordon B. Mills, Yiling Lu, Paul M. Silverman, Murali K. Ravoori, Lewis T. Williams, Sue Goo Rhee and Andrius Kazlauskas. Their work appears in journals such as American Journal of Roentgenology, PLoS ONE, Cancer Imaging, Journal of Magnetic Resonance Imaging and Radiology.

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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