Beatrix Schumak

1.4k citations
25 papers · 1.1k · h-index 16

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
    • T-cell and B-cell Immunology
    • Immune cells in cancer

Papers in

Beatrix Schumak

25 papers receiving 1.0k citations

Peers

Beatrix Schumak
Comparison fields: 5 of 84
  • Immunology 506
  • Biological Psychiatry 48
  • Hepatology 102
  • Neurology 85
  • Behavioral Neuroscience 23
Replace Giuseppina Colonna Romano with:
Giuseppina Colonna Romano Italy
Angela Schippers Germany
O Grip Sweden
I Bernard France
Melanie C. Ruzek United States
Mark Malyak United States
HW Ziegler-Heitbrock Germany
Laureline Berthelot France
Qin Ouyang Germany
Beatrix Schumak relative to Giuseppina Colonna Romano Italy Giuseppina Colonna Romano's profile →
Citations per field
00.5×4.5×
Giuseppina Colonna Romano · 1×
Citations per year

Countries citing papers authored by Beatrix Schumak

Since Specialization
Citations

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

Fields of papers citing papers by Beatrix Schumak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005138
2 2005129
3 200891
4 201086
5 200882
6 201973
7 201663
8 201262
9 201559
10 200957
11 201829
12 201927
13 201123
14 201822
15 201219
16 201318
17 202012
18 201612
19 201411
20 201611

About Beatrix Schumak

Beatrix Schumak is a scholar working on Immunology, Public Health, Environmental and Occupational Health, Neurology, Surgery and Epidemiology, having authored 25 papers that have together received 1.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), Immunotherapy and Immune Responses (8 papers), T-cell and B-cell Immunology (6 papers), Malaria Research and Control (6 papers), Mosquito-borne diseases and control (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Complement system in diseases (3 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Immunology (506 citations), Biological Psychiatry (48 citations), Hepatology (102 citations), Neurology (85 citations) and Behavioral Neuroscience (23 citations). Beatrix Schumak has collaborated with scholars based in Germany, India and United States. Frequent co-authors include Andreas Limmer, Percy A. Knolle, Silke Hegenbarth, Christian Kurts, Frank A. Schildberg, Achim Hoerauf, Gerhard Wingender, Frank Jüngerkes, Daniel R. Engel and Nico van Rooijen. Their work appears in journals such as PLoS ONE, Frontiers in Immunology, Immunology, European Journal of Immunology and Life 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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