Stephen Krahling

812 citations
8 papers · 693 · h-index 8

Impact in

  • Immunology top 5%
    • Phagocytosis and Immune Regulation
    • Immune cells in cancer
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation
  • Physiology top 10%
    • Erythrocyte Function and Pathophysiology

Papers in

    • Phagocytosis and Immune Regulation 8
    • Immune cells in cancer 1
    • Erythrocyte Function and Pathophysiology 6

Stephen Krahling

8 papers receiving 683 citations

Peers

Stephen Krahling
Comparison fields: 5 of 76
  • Immunology 513
  • Physiology 203
  • Molecular Biology 348
  • Aging 6
  • Neurology 26
Replace Adedayo Hanidu with:
Adedayo Hanidu United States
Guenther Boeck Austria
Alexander J. Finn United States
Colette Kristofic Switzerland
Claus‐Detlev Klemke Germany
Emmanuel Derudder United States
Kumi Izawa Japan
Andy Garcia United States
Peter Scheipers Germany
François Machavoine France
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Citations per field
00.5×4.7×
Adedayo Hanidu · 1×
Citations per year

Countries citing papers authored by Stephen Krahling

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Krahling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Stephen Krahling, 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 Stephen Krahling Line = papers co-authored together Stephen Krahling links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 1999176
2 1999114
3 1997110
4 2004106
5 199967
6 200356
7 199634
8 200730

About Stephen Krahling

Stephen Krahling is a scholar working on Immunology, Physiology, Molecular Biology, Surgery and Oncology, having authored 8 papers that have together received 693 indexed citations. Recurring topics across this work include Phagocytosis and Immune Regulation (8 papers), Erythrocyte Function and Pathophysiology (6 papers), Cell death mechanisms and regulation (3 papers), Lipid Membrane Structure and Behavior (2 papers), Cholesterol and Lipid Metabolism (1 paper), Drug Transport and Resistance Mechanisms (1 paper), S100 Proteins and Annexins (1 paper) and Immune cells in cancer (1 paper). The work is most often cited by research in Immunology (513 citations), Physiology (203 citations), Molecular Biology (348 citations), Aging (6 citations) and Neurology (26 citations). Stephen Krahling has collaborated with scholars based in United States. Frequent co-authors include Robert Schlegel, Patrick Williamson, Melissa K. Callahan, Deepti Pradhan, Bret Verhoven, Paula Williamson, Xiaoxuan Fan, Douglas M. Smith, Margaret S. Halleck and Andrew J. Henderson. Their work appears in journals such as Cell Death and Differentiation, Molecular Biology of the Cell, Journal of Leukocyte Biology, Advances in experimental medicine and biology and PLoS ONE.

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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