Simon H. Apte

860 citations
43 papers · 665 · h-index 15

Impact in

Papers in

    • T-cell and B-cell Immunology 12
    • Immune Cell Function and Interaction 11
    • Immunotherapy and Immune Responses 11
    • vaccines and immunoinformatics approaches 6

Simon H. Apte

42 papers receiving 659 citations

Peers

Simon H. Apte
Comparison fields: 5 of 93
  • Immunology 266
  • Public Health, Environmental and Occupational Health 188
  • Parasitology 38
  • Virology 25
  • Microbiology 24
Replace Mamoru Niikura with:
Mamoru Niikura Japan
Alyse N. Douglass United States
Penny Groves Australia
Jéssica Cristina dos Santos Netherlands
Ariel H. Achtman Germany
Ramona Hurdayal South Africa
John Bial United States
Xianzhu Wu United States
Susanna S. Ng Australia
Cécile Voisine France
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Citations per field
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Citations per year

Countries citing papers authored by Simon H. Apte

Since Specialization
Citations

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

Fields of papers citing papers by Simon H. Apte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simon H. Apte. 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 Simon H. Apte. The network helps show where Simon H. Apte may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201754
2 201246
3 201741
4 200834
5 201032
6 201431
7 200730
8 201429
9 201629
10 201324
11 201623
12 201122
13 201520
14 201218
15 201817
16 201714
17 201314
18 202114
19 202113
20 202012

About Simon H. Apte

Simon H. Apte is a scholar working on Immunology, Molecular Biology, Public Health, Environmental and Occupational Health, Pulmonary and Respiratory Medicine and Oncology, having authored 43 papers that have together received 665 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (12 papers), Immune Cell Function and Interaction (11 papers), Immunotherapy and Immune Responses (11 papers), Malaria Research and Control (9 papers), vaccines and immunoinformatics approaches (6 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (5 papers), Mosquito-borne diseases and control (5 papers) and Transplantation: Methods and Outcomes (3 papers). The work is most often cited by research in Immunology (266 citations), Public Health, Environmental and Occupational Health (188 citations), Parasitology (38 citations), Virology (25 citations) and Microbiology (24 citations). Simon H. Apte has collaborated with scholars based in Australia, United States and Thailand. Frequent co-authors include Denise L. Doolan, Penny Groves, Julie G. Burel, James McCarthy, Norbert Kienzle, Anne Kelso, Adriana Baz, Stuart D. Olver, Carla Proietti and Daniel C. Chambers. Their work appears in journals such as International Journal of Molecular Sciences, International Journal for Parasitology, Respirology, Chemistry - A European Journal and Proceedings of the National Academy of Sciences.

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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