Bernd Schoel

3.0k citations
47 papers · 2.4k indexed · h-index 23

Impact in

  • Immunology top 2%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
    • Atherosclerosis and Cardiovascular Diseases

Papers in

    • Escherichia coli research studies 9
    • Immunotherapy and Immune Responses 9
    • Immune Cell Function and Interaction 8

Bernd Schoel

47 papers receiving 2.4k citations

Peers

Bernd Schoel
Comparison fields: 5 of 106
  • Immunology 1.3k
  • Endocrinology 144
  • Infectious Diseases 486
  • Parasitology 111
  • Physical and Theoretical Chemistry 150
Replace M J Colston with:
M J Colston United Kingdom
Salamatu S. Mambula United States
Jelle Thole Netherlands
Patricia Méndez‐Samperio Mexico
Christy S. Barrios United States
Vânia Luiza Deperon Bonato Brazil
Peadar Ó Gaora Ireland
Ralf Spallek Germany
Hajime Hisaeda Japan
Astrid P. Heikema Netherlands
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Citations per field
00.5×1.5×2.0×
M J Colston · 1×
Citations per year

Countries citing papers authored by Bernd Schoel

Since Specialization
Citations

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

Fields of papers citing papers by Bernd Schoel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20221
3 200586
4 200147
5 19967
6 19964
7 199523
8 199552
9 199476
10 199457
11 199491
12 19945
13 199173
14 19917
15 199195
16 1990214
17 199037
18 1990283
19 19884
20 198865

About Bernd Schoel

Bernd Schoel is a scholar working on Endocrinology, Immunology, Periodontics, Infectious Diseases and Biotechnology, having authored 47 papers that have together received 2.4k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (9 papers), Escherichia coli research studies (9 papers), Heat shock proteins research (9 papers), Immune Cell Function and Interaction (8 papers), Genetically Modified Organisms Research (6 papers), Mycobacterium research and diagnosis (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Tuberculosis Research and Epidemiology (6 papers). The work is most often cited by research in Immunology (1.3k citations), Endocrinology (144 citations), Infectious Diseases (486 citations), Parasitology (111 citations) and Physical and Theoretical Chemistry (150 citations). Bernd Schoel has collaborated with scholars based in Germany, United States and Mexico. Frequent co-authors include Stefan H. E. Kaufmann, Martin E. Munk, A. Wand-Württenberger, Heinz Gulle, S Schondelmaier, Dieter Kabelitz, Axel Bender, Klaus Pfeffer, Tetsuya Koga and Harald Steiner. Their work appears in journals such as European Journal of Immunology, Infection and Immunity, The Journal of Immunology, Journal of Chromatography A and The Journal of Experimental Medicine.

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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