Jonathan Florentin

1.5k citations
43 papers · 845 · h-index 17

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Immune cells in cancer

Papers in

    • Immune cells in cancer 9
    • Immunotherapy and Immune Responses 4
    • Venomous Animal Envenomation and Studies 8

Jonathan Florentin

38 papers receiving 837 citations

Peers

Jonathan Florentin
Comparison fields: 5 of 124
  • Immunology 228
  • Virology 27
  • Pulmonary and Respiratory Medicine 175
  • Cancer Research 74
  • Hepatology 33
Replace H.-G. Leser with:
H.-G. Leser Germany
Patricia de Nadaı̈ France
Kyoung‐Hee Lee South Korea
Di Sun China
Xiaoming Zhu China
Tomohiro Kondo Japan
Chiara Sartori Italy
Martin J. Firth Australia
Patrick Man Pan Yuen Hong Kong
Johannes Leonhardt Germany
Jonathan Florentin relative to H.-G. Leser Germany H.-G. Leser's profile →
Citations per field
00.5×10×20×33×
H.-G. Leser · 1×
Citations per year

Countries citing papers authored by Jonathan Florentin

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Florentin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jonathan Florentin, 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 Jonathan Florentin Line = papers co-authored together Jonathan Florentin 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 2018123
2 201891
3 202080
4 201757
5 202155
6 201251
7 202237
8 201735
9 202434
10 202029
11 201626
12 201125
13 201821
14 202220
15 201919
16 202017
17 202016
18 202216
19 202214
20 202312

About Jonathan Florentin

Jonathan Florentin is a scholar working on Immunology, Genetics, Virology, Epidemiology and Molecular Biology, having authored 43 papers that have together received 845 indexed citations. Recurring topics across this work include Immune cells in cancer (9 papers), Venomous Animal Envenomation and Studies (8 papers), Rabies epidemiology and control (6 papers), Sulfur Compounds in Biology (5 papers), Hepatitis C virus research (4 papers), Immunotherapy and Immune Responses (4 papers), Pulmonary Hypertension Research and Treatments (4 papers) and Marine Invertebrate Physiology and Ecology (3 papers). The work is most often cited by research in Immunology (228 citations), Virology (27 citations), Pulmonary and Respiratory Medicine (175 citations), Cancer Research (74 citations) and Hepatology (33 citations). Jonathan Florentin has collaborated with scholars based in United States, Martinique and France. Frequent co-authors include Partha Dutta, Sathish Babu Vasamsetti, John Sembrat, Emilie Coppin, Stephen Y. Chan, Mauricio Rojas, Jingsi Zhao, Yi‐Yin Tai, Annie Watson and Dabor Résière. Their work appears in journals such as Toxins, Toxics, Nature Communications, PLoS neglected tropical diseases and The Journal of Immunology.

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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