A. Kant

3.2k citations
66 papers · 2.6k · h-index 22

Impact in

Papers in

    • Viral gastroenteritis research and epidemiology 8
    • SARS-CoV-2 and COVID-19 Research 5
    • Cervical Cancer and HPV Research 6

A. Kant

61 papers receiving 2.4k citations

Peers

A. Kant
Comparison fields: 5 of 120
  • Animal Science and Zoology 766
  • Molecular Medicine 275
  • Infectious Diseases 757
  • Cell Biology 638
  • Toxicology 107
Replace Ayuko Sato with:
Ayuko Sato Japan
Helmut Fickenscher Germany
Cynthia A. Leifer United States
Fumitaka Hayashi United States
Gottfried Alber Germany
Kozo Takase Japan
Auli Toivanen Finland
C. Ladel Germany
M. La Plaça Italy
Lide Liu United States
A. Kant relative to Ayuko Sato Japan Ayuko Sato's profile →
Citations per field
00.5×10×20×26.8×
Ayuko Sato · 1×
Citations per year

Countries citing papers authored by A. Kant

Since Specialization
Citations

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

Fields of papers citing papers by A. Kant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983305
2 1983256
3
Monoclonal antibody to keratin filaments, specific for glandular epithelia and their tumors. Use in surgical pathology.
1983254
4 1992222
5 1990207
6 1992191
7 2012191
8 1997107
9 198298
10
Demonstration of keratin in human adenocarcinomas.
198378
11 201961
12 201657
13 198347
14 201345
15 201339
16 202238
17 201830
18 202325
19 198425
20 198625

About A. Kant

A. Kant is a scholar working on Infectious Diseases, Epidemiology, Toxicology, Animal Science and Zoology and Obstetrics and Gynecology, having authored 66 papers that have together received 2.6k indexed citations. Recurring topics across this work include Pharmacovigilance and Adverse Drug Reactions (12 papers), Animal Virus Infections Studies (9 papers), COVID-19 Impact on Reproduction (8 papers), Viral gastroenteritis research and epidemiology (8 papers), Cervical Cancer and HPV Research (6 papers), Skin and Cellular Biology Research (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). The work is most often cited by research in Animal Science and Zoology (766 citations), Molecular Medicine (275 citations), Infectious Diseases (757 citations), Cell Biology (638 citations) and Toxicology (107 citations). A. Kant has collaborated with scholars based in Netherlands, Italy and Czechia. Frequent co-authors include G. Koch, Olof Moesker, P. H. K. Jap, G. Peter Vooijs, D. J. van Roozelaar, D. Haag, J.J.G. Puts, A. HUYSMANS, C. J. Herman and Frans C. S. Ramaekers. Their work appears in journals such as Drug Safety, British Journal of Clinical Pharmacology, Journal of Antimicrobial Chemotherapy, Vaccine and Journal of General Virology.

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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