V. Brixner

497 citations
16 papers · 328 · h-index 8

Impact in

Papers in

    • T-cell and B-cell Immunology 6
    • Immune Cell Function and Interaction 5
    • Immunotherapy and Immune Responses 4
    • Cytomegalovirus and herpesvirus research 2
    • Hepatitis B Virus Studies 1

V. Brixner

16 papers receiving 300 citations

Peers

V. Brixner
Comparison fields: 5 of 63
  • Biochemistry 45
  • Hepatology 52
  • Management of Technology and Innovation 47
  • Genetics 37
  • Epidemiology 107
Replace Magdalena Łętowska with:
Magdalena Łętowska Poland
Y. Piquet France
Marilyn S. Horowitz United States
Cathy Schechterly United States
C. Puapairoj Thailand
M. von Depka Prondzinski Germany
Klein Hg United States
M. Morfini Italy
FA Bontempo United States
Robert A. Johnson United States
V. Brixner relative to Magdalena Łętowska Poland Magdalena Łętowska's profile →
Citations per field
00.5×1.5×
Magdalena Łętowska · 1×
Citations per year

Countries citing papers authored by V. Brixner

Since Specialization
Citations

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

Fields of papers citing papers by V. Brixner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2008143
2 201642
3 200332
4 201827
5 200420
6 200214
7 201712
8 20067
9 20066
10 20206
11 20095
12 20085
13 20053
14 20103
15 20082
16 20091

About V. Brixner

V. Brixner is a scholar working on Immunology, Epidemiology, Biochemistry, Management of Technology and Innovation and Molecular Biology, having authored 16 papers that have together received 328 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (5 papers), Immunotherapy and Immune Responses (4 papers), Blood transfusion and management (3 papers), Blood donation and transfusion practices (2 papers), Cytomegalovirus and herpesvirus research (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Hepatitis B Virus Studies (1 paper). The work is most often cited by research in Biochemistry (45 citations), Hepatology (52 citations), Management of Technology and Innovation (47 citations), Genetics (37 citations) and Epidemiology (107 citations). V. Brixner has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Erhard Seifried, W. Kurt Roth, Michael Schmidt, M. K. Hourfar, Knut Gubbe, U. Mayr‐Wohlfart, Michael P. Busch, David J. Wright, Volkmar Schottstedt and Christine Jork. Their work appears in journals such as Transfusion, American Journal of Transplantation, Cytotherapy, Journal of Clinical Virology and International Journal of Immunogenetics.

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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