Kim Schroder

467 citations
9 papers · 361 · h-index 6

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Diabetes and associated disorders

Papers in

    • Immune Cell Function and Interaction 6
    • T-cell and B-cell Immunology 4
    • Immunotherapy and Immune Responses 2
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 1
    • vaccines and immunoinformatics approaches 2

Kim Schroder

9 papers receiving 355 citations

Peers

Kim Schroder
Comparison fields: 5 of 56
  • Immunology 251
  • Genetics 129
  • Neurology 22
  • Radiology, Nuclear Medicine and Imaging 44
  • Physiology 35
Replace Radhakrishna G. Pillai with:
Radhakrishna G. Pillai United Kingdom
Kanchana Natarajan United States
Masatoshi Murata Japan
David J. Faulkes United Kingdom
Katalin Sándor United States
Mario Buono United Kingdom
Angela Armento Germany
Andrea E. Price United States
T.A. Stewart United States
Carmela Ziviello Italy
Kim Schroder relative to Radhakrishna G. Pillai United Kingdom Radhakrishna G. Pillai's profile →
Citations per field
00.5×5.8×
Radhakrishna G. Pillai · 1×
Citations per year

Countries citing papers authored by Kim Schroder

Since Specialization
Citations

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

Fields of papers citing papers by Kim Schroder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2001179
2 199779
3 199953
4 201917
5 200615
6 19989
7 20085
8 19962
9 19982

About Kim Schroder

Kim Schroder is a scholar working on Immunology, Molecular Biology, Genetics, Surgery and Virology, having authored 9 papers that have together received 361 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (4 papers), Diabetes and associated disorders (3 papers), Immunotherapy and Immune Responses (2 papers), vaccines and immunoinformatics approaches (2 papers), Nitric Oxide and Endothelin Effects (1 paper), Peptidase Inhibition and Analysis (1 paper) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper). The work is most often cited by research in Immunology (251 citations), Genetics (129 citations), Neurology (22 citations), Radiology, Nuclear Medicine and Imaging (44 citations) and Physiology (35 citations). Kim Schroder has collaborated with scholars based in United States, Germany and Türkiye. Frequent co-authors include Darcy B. Wilson, Clemencia Pinilla, Valeria Judkowski, Nora Sarvetnick, Daniel P. Gold, Henry C. Powell, Dianne H. Wilson, Richard A. Houghten, Roland Martinꝉ and César Boggiano. Their work appears in journals such as European Journal of Immunology, The Journal of Immunology, Biopolymers, Cancer Immunology Immunotherapy and Journal of Neuroscience Research.

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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