Rita Grimm

23 papers receiving 738 citations

Peers

Rita Grimm
Comparison fields: 5 of 90
  • Cellular and Molecular Neuroscience 343
  • Developmental Biology 42
  • Developmental Neuroscience 69
  • Periodontics 59
  • Cognitive Neuroscience 216
Replace Shashi Wadhwa with:
Shashi Wadhwa India
Emanuele Schiavon Italy
Ken A. Morris United States
M Pierson United States
Jennifer M Blackwell United States
F.-H. Güldner Australia
Wade K. Smith United States
Yong-hui Jiang United States
Mona M. Freidin United States
Mark E. Basham United States
Rita Grimm relative to Shashi Wadhwa India Shashi Wadhwa's profile →
Citations per field
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Citations per year

Countries citing papers authored by Rita Grimm

Since Specialization
Citations

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

Fields of papers citing papers by Rita Grimm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999364
2 200175
3 200370
4 199449
5 199747
6 199740
7 200317
8 200615
9 200415
10 200115
11 200314
12 199811
13 20038
14 20057
15 20086
16 20075
17 20045
18 19664
19 19913
20
[Prevalence of the activated protein C resistance in indigenous and Black populations of the western Venezuela].
20003

About Rita Grimm

Rita Grimm is a scholar working on Hematology, Molecular Biology, Cellular and Molecular Neuroscience, Physiology and Surgery, having authored 24 papers that have together received 777 indexed citations. Recurring topics across this work include Blood Coagulation and Thrombosis Mechanisms (6 papers), Neuroscience and Neuropharmacology Research (4 papers), Hemophilia Treatment and Research (3 papers), Nitric Oxide and Endothelin Effects (1 paper), Neurogenesis and neuroplasticity mechanisms (1 paper), Medical Image Segmentation Techniques (1 paper), Diabetes and associated disorders (1 paper) and Hormonal and reproductive studies (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (343 citations), Developmental Biology (42 citations), Developmental Neuroscience (69 citations), Periodontics (59 citations) and Cognitive Neuroscience (216 citations). Rita Grimm has collaborated with scholars based in Germany, Costa Rica and Australia. Frequent co-authors include Wolfgang Tischmeyer, Horst Schicknick, Eckart D. Gundelfinger, Christian Schwahn, F. H. Herrmann, Ulrich John, Thomas Köcher, Peter Meisel, Wolfgang Brysch and Karl‐Hermann Schlingensiepen. Their work appears in journals such as Thrombosis and Haemostasis, Experimental Biology and Medicine, European Journal of Neuroscience, Clinical Science and Acta Physiologica.

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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