Mitchell Evers

581 citations
15 papers · 428 · h-index 10

Impact in

    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune cells in cancer
    • Immunotherapy and Immune Responses
    • Phagocytosis and Immune Regulation
    • Monoclonal and Polyclonal Antibodies Research

Papers in

Mitchell Evers

14 papers receiving 419 citations

Peers

Mitchell Evers
Comparison fields: 5 of 53
  • Immunology 230
  • Radiology, Nuclear Medicine and Imaging 171
  • Oncology 100
  • Genetics 34
  • Biotechnology 23
Replace M. Josefina Coloma with:
M. Josefina Coloma United States
Akito Natsume Japan
Ulf Forssmann Germany
Soung-Chul Cha United States
Johanna Kölln Germany
Maria Liljefors Sweden
Nathalie Baudson Belgium
Shaughn H. Bryant United States
Sanjay V. Kottapalli United States
Karuna Sundarapandiyan United States
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Citations per field
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M. Josefina Coloma · 1×
Citations per year

Countries citing papers authored by Mitchell Evers

Since Specialization
Citations

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

Fields of papers citing papers by Mitchell Evers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2019120
2 201856
3 202049
4 202445
5 202139
6 201828
7 202121
8 202018
9 202317
10 202112
11 20238
12 20188
13 20254
14 20183
15 20250

About Mitchell Evers

Mitchell Evers is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology, Genetics, Hematology and Immunology and Allergy, having authored 15 papers that have together received 428 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (9 papers), Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (4 papers), Glycosylation and Glycoproteins Research (3 papers), Blood groups and transfusion (2 papers), Immunotherapy and Immune Responses (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Cell Adhesion Molecules Research (1 paper). The work is most often cited by research in Immunology (230 citations), Radiology, Nuclear Medicine and Imaging (171 citations), Oncology (100 citations), Genetics (34 citations) and Biotechnology (23 citations). Mitchell Evers has collaborated with scholars based in Netherlands, Germany and Norway. Frequent co-authors include Jeanette H.W. Leusen, Marco Jansen, Thomas Valerius, Toine ten Broeke, Maaike Nederend, Thies Rösner, Arianne M. Brandsma, Sina Bondza, Geert van Tetering and Saskia Meyer. Their work appears in journals such as mAbs, Journal for ImmunoTherapy of Cancer, Antibodies, Expert Opinion on Biological Therapy and Blood Advances.

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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