Sheena Pinto

2.2k citations
27 papers · 1.2k · h-index 15

Impact in

Papers in

    • T-cell and B-cell Immunology 12
    • Immune Cell Function and Interaction 11
    • Immunotherapy and Immune Responses 7
    • CAR-T cell therapy research 6

Sheena Pinto

26 papers receiving 1.2k citations

Peers

Sheena Pinto
Comparison fields: 5 of 84
  • Immunology 604
  • Endocrinology, Diabetes and Metabolism 213
  • Biological Psychiatry 25
  • Cancer Research 142
  • Neurology 58
Replace Stephen Malin with:
Stephen Malin Sweden
Denise Tischner Germany
Tanja Stoyan Germany
Geeta Upadhyay United States
Matthieu Lévi‐Strauss France
Yann‐Gaël Gangloff France
Michelle Krakowski Canada
Geraldine Flynn United Kingdom
Michael Calderon United States
Alberto Termanini Italy
Sheena Pinto relative to Stephen Malin Sweden Stephen Malin's profile →
Citations per field
00.5×2.8×
Stephen Malin · 1×
Citations per year

Countries citing papers authored by Sheena Pinto

Since Specialization
Citations

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

Fields of papers citing papers by Sheena Pinto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014246
2 2015177
3 2011164
4 2008157
5 2015114
6 201358
7 202245
8 201236
9 202033
10 201432
11 200630
12 201726
13 202223
14
199622
15 202016
16 202013
17 201510
18 20179
19 20239
20 20249

About Sheena Pinto

Sheena Pinto is a scholar working on Immunology, Oncology, Molecular Biology, Biological Psychiatry and Genetics, having authored 27 papers that have together received 1.2k 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 (7 papers), CAR-T cell therapy research (6 papers), Diabetes and associated disorders (4 papers), Tryptophan and brain disorders (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Transgenic Plants and Applications (2 papers). The work is most often cited by research in Immunology (604 citations), Endocrinology, Diabetes and Metabolism (213 citations), Biological Psychiatry (25 citations), Cancer Research (142 citations) and Neurology (58 citations). Sheena Pinto has collaborated with scholars based in Germany, United States and Belgium. Frequent co-authors include Bruno Kyewski, Klaus Hexel, Jens Derbinski, Benedikt Brors, Christoph M. Zehendner, Heiko J. Luhmann, Dominik Fröhlich, Joern Toedling, Carsten Frühbeis and Jacqueline Trotter. Their work appears in journals such as Cancer Research, European Journal of Immunology, Proceedings of the National Academy of Sciences, Bioorganic & Medicinal Chemistry Letters and Journal of Visualized Experiments.

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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