Benjamin Nota

3.0k citations
39 papers · 1.5k · h-index 23

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
    • Glycosylation and Glycoproteins Research 2

Benjamin Nota

39 papers receiving 1.4k citations

Peers

Benjamin Nota
Comparison fields: 5 of 111
  • Immunology 553
  • Health, Toxicology and Mutagenesis 220
  • Hematology 101
  • Insect Science 108
  • Pollution 97
Replace Zhiyong Qiu with:
Zhiyong Qiu China
Wenbin Xu China
Claudia Manzl Austria
Will M. Lee Hong Kong
Yan Fang China
Janice A. Nicklas United States
Rune Male Norway
Elissa W.P. Wong United States
Meredith Ashby United States
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 2016345
2 200983
3 201981
4 200976
5 200969
6 202165
7 200861
8 202056
9 201156
10 200747
11 200636
12 201234
13 200933
14 201632
15 201730
16 201029
17 201928
18 201828
19 201927
20 201925

About Benjamin Nota

Benjamin Nota is a scholar working on Immunology, Molecular Biology, Genetics, Health, Toxicology and Mutagenesis and Hematology, having authored 39 papers that have together received 1.5k 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), Glycosylation and Glycoproteins Research (2 papers), Platelet Disorders and Treatments (2 papers) and Iron Metabolism and Disorders (2 papers). The work is most often cited by research in Immunology (553 citations), Health, Toxicology and Mutagenesis (220 citations), Hematology (101 citations), Insect Science (108 citations) and Pollution (97 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, Regina Stark, Pleun Hombrink, Janine Mariën, Derk Amsen and Anna E. Oja. Their work appears in journals such as European Journal of Immunology, Journal of Leukocyte Biology, Molecular Informatics, Environmental Science & Technology and BMC Genomics.

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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