Benjamin Nota

2.9k citations
39 papers · 1.4k indexed · h-index 21

Impact in

Papers in

    • Immunotherapy and Immune Responses 8
    • T-cell and B-cell Immunology 7
    • Immune Cell Function and Interaction 6
    • Immune Response and Inflammation 3
    • Environmental Toxicology and Ecotoxicology 5

Benjamin Nota

38 papers receiving 1.4k citations

Peers

Benjamin Nota
Comparison fields: 5 of 111
  • Immunology 586
  • Health, Toxicology and Mutagenesis 228
  • Insect Science 112
  • Hematology 99
  • Pollution 100
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Claudia Manzl Austria
Yan Fang China
Will M. Lee Hong Kong
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Weifeng Shen China
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Citations per field
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Citations per year

Countries citing papers authored by Benjamin Nota

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Nota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016342
2 200981
3 201979
4 200972
5 200966
6 202162
7 200859
8 201155
9 202052
10 200747
11 200636
12 200932
13 201632
14 201232
15 201928
16 201028
17 201728
18 201926
19 201826
20 201925

About Benjamin Nota

Benjamin Nota is a scholar working on Immunology, Health, Toxicology and Mutagenesis, Hematology, Clinical Biochemistry and Genetics, having authored 39 papers that have together received 1.4k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (8 papers), T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (6 papers), Environmental Toxicology and Ecotoxicology (5 papers), Immune Response and Inflammation (3 papers), Iron Metabolism and Disorders (2 papers), Physiological and biochemical adaptations (2 papers) and Pharmaceutical and Antibiotic Environmental Impacts (2 papers). The work is most often cited by research in Immunology (586 citations), Health, Toxicology and Mutagenesis (228 citations), Insect Science (112 citations), Hematology (99 citations) and Pollution (100 citations). Benjamin Nota has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Dick Roelofs, Nico M. van Straalen, Bauke Ylstra, René A. W. van Lier, Martijn J.T.N. Timmermans, Pleun Hombrink, Regina Stark, Derk Amsen, Janine Mariën and Anna E. Oja. Their work appears in journals such as Journal of Leukocyte Biology, Insect Molecular Biology, The Journal of Immunology, Environmental Science & Technology and European 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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