Rajeev Kaul

1.5k citations
40 papers · 995 · h-index 19

Impact in

Papers in

    • Viral-associated cancers and disorders 11
    • Peptidase Inhibition and Analysis 4
    • Polyomavirus and related diseases 2
    • Cytomegalovirus and herpesvirus research 9
    • Herpesvirus Infections and Treatments 7

Rajeev Kaul

38 papers receiving 978 citations

Peers

Rajeev Kaul
Comparison fields: 5 of 82
  • Oncology 521
  • Pathology and Forensic Medicine 183
  • Epidemiology 299
  • Immunology 101
  • Cancer Research 69
Replace Chih‐Yeu Fang with:
Chih‐Yeu Fang Taiwan
Liang Zhu China
Changguo Chen China
Bishi Fu United States
A. Zimber Israel
Júlia Varga Germany
Mayumi Kawada Japan
Richard Beniston United Kingdom
J.R. Wands United States
Leticia Rocha‐Zavaleta Mexico
Rajeev Kaul relative to Chih‐Yeu Fang Taiwan Chih‐Yeu Fang's profile →
Citations per field
00.5×1.5×1.9×
Chih‐Yeu Fang · 1×
Citations per year

Countries citing papers authored by Rajeev Kaul

Since Specialization
Citations

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

Fields of papers citing papers by Rajeev Kaul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017115
2 201093
3 201081
4 200679
5 200758
6 201057
7 200752
8 200745
9 200837
10 200636
11 201432
12 201030
13 200828
14 200126
15 201724
16
Insulin like growth factor 1 and regulation of ovarian function in mammals.
200222
17 200920
18 201520
19 202218
20 201716

About Rajeev Kaul

Rajeev Kaul is a scholar working on Oncology, Epidemiology, Molecular Biology, Pathology and Forensic Medicine and Immunology, having authored 40 papers that have together received 995 indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (11 papers), Mechanisms of cancer metastasis (9 papers), Cytomegalovirus and herpesvirus research (9 papers), Herpesvirus Infections and Treatments (7 papers), Cancer Mechanisms and Therapy (6 papers), Peptidase Inhibition and Analysis (4 papers), Animal Virus Infections Studies (3 papers) and Polyomavirus and related diseases (2 papers). The work is most often cited by research in Oncology (521 citations), Pathology and Forensic Medicine (183 citations), Epidemiology (299 citations), Immunology (101 citations) and Cancer Research (69 citations). Rajeev Kaul has collaborated with scholars based in India, United States and Ireland. Frequent co-authors include Erle S. Robertson, Masanao Murakami, Subhash C. Verma, Tathagata Choudhuri, Lohit Khera, Catherine Paul, Abhik Saha, Ke Lan, Qiliang Cai and Rahul Behl. Their work appears in journals such as Virology, Journal of Virology, Cancer Biology & Therapy, Archives of Virology and Frontiers in Microbiology.

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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