Dan Lehmann

1.6k citations
36 papers · 1.2k indexed · h-index 19

Impact in

  • Immunology top 5%
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation
    • Multiple Sclerosis Research Studies

Papers in

    • T-cell and B-cell Immunology 9
    • Immune Cell Function and Interaction 8
    • Immunotherapy and Immune Responses 8
    • Toxin Mechanisms and Immunotoxins 2
    • Multiple Sclerosis Research Studies 7

Dan Lehmann

35 papers receiving 1.2k citations

Peers

Dan Lehmann
Comparison fields: 5 of 87
  • Immunology 598
  • Pathology and Forensic Medicine 351
  • Hematology 124
  • Biological Psychiatry 23
  • Rheumatology 137
Replace Rafael Arroyo with:
Rafael Arroyo Spain
Ingrid E. Gienapp United States
Hirofumi Ochi Japan
Takayuki Kondo Japan
M. Pette Germany
Luca Castelli Italy
Anne Brüstle Germany
N T Rapson United Kingdom
Ian Roberts United Kingdom
Robert H. Swanborg United States
Dan Lehmann relative to Rafael Arroyo Spain Rafael Arroyo's profile →
Citations per field
00.5×1.5×2.3×
Rafael Arroyo · 1×
Citations per year

Countries citing papers authored by Dan Lehmann

Since Specialization
Citations

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

Fields of papers citing papers by Dan Lehmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991178
2 199399
3 199694
4 199388
5 199380
6 199275
7 200367
8 200354
9 200348
10 199247
11 199247
12 199442
13 199436
14 199733
15 199533
16 199332
17 201031
18 198530
19 198825
20 200214

About Dan Lehmann

Dan Lehmann is a scholar working on Immunology, Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Epidemiology, having authored 36 papers that have together received 1.2k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (9 papers), Immune Cell Function and Interaction (8 papers), Immunotherapy and Immune Responses (8 papers), Multiple Sclerosis Research Studies (7 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Hematopoietic Stem Cell Transplantation (3 papers), Toxin Mechanisms and Immunotoxins (2 papers) and Transgenic Plants and Applications (2 papers). The work is most often cited by research in Immunology (598 citations), Pathology and Forensic Medicine (351 citations), Hematology (124 citations), Biological Psychiatry (23 citations) and Rheumatology (137 citations). Dan Lehmann has collaborated with scholars based in Israel, Switzerland and United States. Frequent co-authors include Avraham Ben‐Nun, Oded Abramsky, Dimitrios Karussis, R Mizrachi-Koll, S Slavin, Haim Ovadia, Urania Vourka-Karussis, Terje Kalland, Roland Liblau and Jef C.M. Raus. Their work appears in journals such as Journal of Neuroimmunology, Journal of Autoimmunity, The Journal of Immunology, Veterinary Microbiology and Proceedings of the National Academy of Sciences.

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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