Rainer Probstmeier

2.3k citations
60 papers · 2.0k · h-index 28

Impact in

Papers in

Rainer Probstmeier

60 papers receiving 2.0k citations

Peers

Rainer Probstmeier
Comparison fields: 5 of 105
  • Developmental Neuroscience 306
  • Immunology and Allergy 376
  • Cellular and Molecular Neuroscience 496
  • Cell Biology 395
  • Immunology 450
Replace Sabine Kuchler‐Bopp with:
Sabine Kuchler‐Bopp France
Paul L. Kaplan United States
Noriko Takegahara Japan
Erja Kerkelä Finland
Jean‐Claude Jeanny France
Osamu Miyaishi Japan
John C. Angello United States
Olaf Wendler Germany
Mercedes Costell Spain
Jaroslav Mokrý Czechia
Rainer Probstmeier relative to Sabine Kuchler‐Bopp France Sabine Kuchler‐Bopp's profile →
Citations per field
00.5×4.5×
Sabine Kuchler‐Bopp · 1×
Citations per year

Countries citing papers authored by Rainer Probstmeier

Since Specialization
Citations

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

Fields of papers citing papers by Rainer Probstmeier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199996
2 198995
3 198791
4 199791
5 199883
6 200080
7 200076
8 199869
9 201868
10 200068
11 199068
12 199562
13 199462
14 199253
15 199952
16 201648
17 200848
18 199842
19 199037
20 201736

About Rainer Probstmeier

Rainer Probstmeier is a scholar working on Molecular Biology, Immunology and Allergy, Cell Biology, Immunology and Oncology, having authored 60 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (19 papers), Galectins and Cancer Biology (13 papers), Glycosylation and Glycoproteins Research (11 papers), Signaling Pathways in Disease (10 papers), Proteoglycans and glycosaminoglycans research (10 papers), Cellular Mechanics and Interactions (7 papers), S100 Proteins and Annexins (6 papers) and Nerve injury and regeneration (4 papers). The work is most often cited by research in Developmental Neuroscience (306 citations), Immunology and Allergy (376 citations), Cellular and Molecular Neuroscience (496 citations), Cell Biology (395 citations) and Immunology (450 citations). Rainer Probstmeier has collaborated with scholars based in Germany, Switzerland and Japan. Frequent co-authors include Penka Pesheva, Melitta Schachner, Melitta Schachner, Jochen Winter, Dominik Kraus, Klaus Kühn, Rudolf Martini, Sergio M. Gloor, Michael Walther and Wolfram F. Neiss. Their work appears in journals such as Journal of Neurochemistry, European Journal of Neuroscience, Tumor Biology, Progress in Neurobiology and Cancers.

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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