Mark A. Hauser

647 citations
9 papers · 506 · h-index 8

Impact in

  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Chemokine receptors and signaling

Papers in

    • Chemokine receptors and signaling 7
    • Immunotherapy and Immune Responses 6
    • T-cell and B-cell Immunology 6
    • Immune Cell Function and Interaction 1

Mark A. Hauser

9 papers receiving 504 citations

Peers

Mark A. Hauser
Comparison fields: 5 of 59
  • Immunology 277
  • Oncology 240
  • Immunology and Allergy 43
  • Cell Biology 50
  • Molecular Biology 181
Replace Ann J. Canonigo-Balancio with:
Ann J. Canonigo-Balancio United States
Tammy P. Cheng United States
Vibeke Sundvold‐Gjerstad Norway
Ella Negrou United States
Rotem Feniger-Barish Israel
Marion Leick Germany
Noriko Imagawa Japan
Karen E. Strunk United States
L J Jarvis United States
CA Lowell United States
Mark A. Hauser relative to Ann J. Canonigo-Balancio United States Ann J. Canonigo-Balancio's profile →
Citations per field
00.5×1.5×2×2.3×
Ann J. Canonigo-Balancio · 1×
Citations per year

Countries citing papers authored by Mark A. Hauser

Since Specialization
Citations

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

Fields of papers citing papers by Mark A. Hauser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark A. Hauser. 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 Mark A. Hauser. The network helps show where Mark A. Hauser may publish in the future.

Co-authors

The 24 scholars most cited alongside Mark A. Hauser, 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 Mark A. Hauser Line = papers co-authored together Mark A. Hauser links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2016149
2 201689
3 201665
4 201464
5 201243
6 201133
7 201432
8 201925
9 20156

About Mark A. Hauser

Mark A. Hauser is a scholar working on Oncology, Immunology, Immunology and Allergy, Cell Biology and Molecular Biology, having authored 9 papers that have together received 506 indexed citations. Recurring topics across this work include Chemokine receptors and signaling (7 papers), Immunotherapy and Immune Responses (6 papers), T-cell and B-cell Immunology (6 papers), Receptor Mechanisms and Signaling (2 papers), Immune Cell Function and Interaction (1 paper), Glycosylation and Glycoproteins Research (1 paper), Pancreatic function and diabetes (1 paper) and Cell Adhesion Molecules Research (1 paper). The work is most often cited by research in Immunology (277 citations), Oncology (240 citations), Immunology and Allergy (43 citations), Cell Biology (50 citations) and Molecular Biology (181 citations). Mark A. Hauser has collaborated with scholars based in Switzerland, Germany and Israel. Frequent co-authors include Daniel F. Legler, Karin Schäuble, Ilona Kindinger, Wolfgang A. Krueger, Marcus Groettrup, Onur Boyman, Julia M. Laufer, Christof R. Hauck, Daniela Impellizzieri and Anne‐Katrin Späte. Their work appears in journals such as Journal of Cell Science, Journal of Leukocyte Biology, Immunity, The International Journal of Biochemistry & Cell Biology and The Journal of Immunology.

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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