Simone Kashima

170 papers receiving 2.2k citations

Peers

Simone Kashima
Comparison fields: 5 of 119
  • Virology 133
  • Infectious Diseases 479
  • Immunology 459
  • Genetics 216
  • Agronomy and Crop Science 218
Replace Mark Y. Sangster with:
Mark Y. Sangster United States
Toru Okamoto Japan
Saumendra N. Sarkar United States
Mark Roman United States
Ping Zhao China
Larry S. Schlesinger United States
Zhongde Wang United States
Zhi‐Ming Zheng United States
Atsushi Hase Japan
David Sutton United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Simone Kashima

Since Specialization
Citations

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

Fields of papers citing papers by Simone Kashima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 182 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200299
2 200485
3 200462
4 200958
5 201657
6 200056
7 200256
8 202351
9 200747
10 201147
11 201643
12 200340
13 201238
14 201738
15 201936
16 201636
17 201235
18 201835
19 201531
20 201431

About Simone Kashima

Simone Kashima is a scholar working on Infectious Diseases, Immunology, Molecular Biology, Public Health, Environmental and Occupational Health and Agronomy and Crop Science, having authored 182 papers that have together received 2.3k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (39 papers), Animal Disease Management and Epidemiology (23 papers), Mosquito-borne diseases and control (22 papers), Vector-Borne Animal Diseases (19 papers), Viral Infections and Vectors (16 papers), Parvovirus B19 Infection Studies (13 papers), Malaria Research and Control (9 papers) and Dermatological and COVID-19 studies (8 papers). The work is most often cited by research in Virology (133 citations), Infectious Diseases (479 citations), Immunology (459 citations), Genetics (216 citations) and Agronomy and Crop Science (218 citations). Simone Kashima has collaborated with scholars based in Brazil, United States and Italy. Frequent co-authors include Dimas Tadeu Covas, Svetoslav Nanev Slavov, Suzelei de Castro França, Daisy Nakamura Sato, Ana Helena Januário, Rosemeire Cristina Linhari Rodrigues Pietro, Evandra Strazza Rodrigues, José Odair Pereira, Patrícia G. Roberto and Andreimar M. Soares. Their work appears in journals such as Journal of Medical Virology, AIDS Research and Human Retroviruses, Retrovirology, Brazilian Journal of Medical and Biological Research and Viruses.

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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