Kevin M. Sullivan

5.2k citations
72 papers · 3.3k indexed · h-index 30
Topics
Cancer Immunotherapy and Biomarkers (15 papers)Molecular Biology Techniques and Applications (11 papers)Forensic and Genetic Research (9 papers)

In The Last Decade

Kevin M. Sullivan

68 papers receiving 3.2k citations

Peers

Kevin M. Sullivan
Comparison fields: 5 of 155
  • Molecular Biology 1.2k
  • Genetics 909
  • Oncology 485
  • Clinical Psychology 426
  • Epidemiology 358
Replace Partha P. Majumder with:
Partha P. Majumder India
Robert Walker United States
Eileen G. Hoal South Africa
Sidia M. Callegari‐Jacques Brazil
Ann Reid United States
Uberto Pozzoli Italy
Takafumi Ishida Japan
Sigrún Sigurðardóttir Iceland
Paul Cameron Australia
B. Brinkmann Germany
Kevin M. Sullivan relative to Partha P. Majumder India Partha P. Majumder's profile →
Citations per field
00.5×5.6×
Partha P. Majumder · 1×
Citations per year

Countries citing papers authored by Kevin M. Sullivan

Since Specialization
Citations

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

Fields of papers citing papers by Kevin M. Sullivan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin M. Sullivan. 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 Kevin M. Sullivan. The network helps show where Kevin M. Sullivan may publish in the future.

Co-authorship network of co-authors of Kevin M. Sullivan

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin M. Sullivan. A scholar is included among the top collaborators of Kevin M. Sullivan 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 Kevin M. Sullivan. Kevin M. Sullivan 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
#WorkIndexed citations
1 0
2 3
3 21
4 6
5 24
6 170
7 6
8 29
9 1
10 28
11 121
12 25
13 381
14 93
15 29
16 58
17 163
18 53
19 30
20 35

About Kevin M. Sullivan

Kevin M. Sullivan is a scholar working on Oncology, Hepatology and Family Practice, having authored 72 papers that have together received 3.3k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (15 papers), Molecular Biology Techniques and Applications (11 papers) and Forensic and Genetic Research (9 papers). The work is most often cited by research in Genetics (909 citations), Microbiology (139 citations) and Clinical Psychology (426 citations). Kevin M. Sullivan has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include Peter Gill, John S. March, Phillipa Gill, James D. A. Parker, Venu G. Pillarisetty, Sara K. Daniel, Kevin P. Labadie, Armando Mannucci, П. Л. Иванов and Mitchell M. Holland. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Genetics.

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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