Angelika Grossmann

2.4k citations
33 papers · 1.6k indexed · h-index 20
Topics
T-cell and B-cell Immunology (6 papers)Neuroinflammation and Neurodegeneration Mechanisms (5 papers)Immune Cell Function and Interaction (5 papers)

In The Last Decade

Angelika Grossmann

33 papers receiving 1.5k citations

Peers

Angelika Grossmann
Comparison fields: 5 of 95
  • Immunology 661
  • Molecular Biology 439
  • Hematology 434
  • Radiology, Nuclear Medicine and Imaging 159
  • Physiology 149
Replace Victoria Hoffmann with:
Victoria Hoffmann United States
Akiko Maekawa United States
Askar M. Akimzhanov United States
Roberta Mannucci Italy
Sarah K. Cho Canada
Luisa Schiaffonati Italy
Pedro J. Cejas United States
Tina M. Thornton United States
Amiya K. Ghosh United States
Herbert Schramek Austria
Angelika Grossmann relative to Victoria Hoffmann United States Victoria Hoffmann's profile →
Citations per field
00.5×4.4×
Victoria Hoffmann · 1×
Citations per year

Countries citing papers authored by Angelika Grossmann

Since Specialization
Citations

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

Fields of papers citing papers by Angelika Grossmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Angelika Grossmann

This figure shows the co-authorship network connecting the top 25 collaborators of Angelika Grossmann. A scholar is included among the top collaborators of Angelika Grossmann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Angelika Grossmann. Angelika Grossmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 23
2 4
3 3
4 29
5 13
6 209
7 39
8 29
9 18
10 24
11 5
12 76
13 65
14 21
15 5
16 38
17 31
18 153
19 23
20 18

About Angelika Grossmann

Angelika Grossmann is a scholar working on Biological Psychiatry, Biochemistry and Neurology, having authored 33 papers that have together received 1.6k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Immune Cell Function and Interaction (5 papers). The work is most often cited by research in Hematology (434 citations), Immunology (661 citations) and Biological Psychiatry (38 citations). Angelika Grossmann has collaborated with scholars based in United States, Germany and Russia. Frequent co-authors include Peter S. Rabinovitch, J A Ledbetter, C H June, Kenneth Kaushansky, K. H. Sprugel, Jeffrey A. Ledbetter, N Lin, V C Broudy, John W. Forstrom and Theta T. Tsu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Blood.

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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