W Kabat

450 citations
11 papers · 320 · h-index 6

Impact in

Papers in

W Kabat

10 papers receiving 298 citations

Peers

W Kabat
Comparison fields: 5 of 74
  • Industrial and Manufacturing Engineering 107
  • Infectious Diseases 64
  • Public Health, Environmental and Occupational Health 76
  • Clinical Biochemistry 15
  • Immunology 43
Replace Dick Chung with:
Dick Chung United States
Nguyễn Hoàng Việt Vietnam
Madiha Ashraf United States
Huizhu Wang China
Stephen Vaughan Canada
Stefan Kröger Germany
Shamim Ahmed Bangladesh
Jingfang Chen China
Matthew Truman United Kingdom
W Kabat relative to Dick Chung United States Dick Chung's profile →
Citations per field
00.5×7.6×
Dick Chung · 1×
Citations per year

Countries citing papers authored by W Kabat

Since Specialization
Citations

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

Fields of papers citing papers by W Kabat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 1986118
2 199558
3 200453
4 199350
5 198526
6 19929
7 20203
8 19971
9
[Rapid detection of drug resistant HIV -1 to reverse transcriptase and protease inhibitors in HIV-infected patients receiving highly active antiretroviral therapies].
20001
10 20201
11
LOGIC BASED INFORMATION SYSTEM SPECIFICATION VERIFICATION
19860

About W Kabat

W Kabat is a scholar working on Infectious Diseases, Food Science, Virology, Epidemiology and Artificial Intelligence, having authored 11 papers that have together received 320 indexed citations. Recurring topics across this work include HIV Research and Treatment (2 papers), Logic, programming, and type systems (2 papers), HIV/AIDS drug development and treatment (2 papers), Streptococcal Infections and Treatments (2 papers), Probiotics and Fermented Foods (2 papers), Advanced Chemical Sensor Technologies (1 paper), Mechanical Circulatory Support Devices (1 paper) and Distributed systems and fault tolerance (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (107 citations), Infectious Diseases (64 citations), Public Health, Environmental and Occupational Health (76 citations), Clinical Biochemistry (15 citations) and Immunology (43 citations). W Kabat has collaborated with scholars based in United States and France. Frequent co-authors include Bruce Parrello, L. Wos, Moshe Arditi, Stanford T. Shulman, Masaru Terai, Keishi Miwa, Trevor Williams, Mayumi Fukuyama, Hideo Igarashi and Bernard Beall. Their work appears in journals such as Journal of Automated Reasoning, The Journal of Infectious Diseases, Clinical Infectious Diseases, Journal of the Association for Information Systems and Journal of Clinical 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.

Explore authors with similar magnitude of impact