Elmar Nimmesgern

2.5k citations
18 papers · 2.1k indexed · 1 hit paper · h-index 13

Elmar Nimmesgern

18 papers receiving 2.0k citations

Hit Papers

Folding of nascent polypeptide chains in a high molecular...5651994202620042015100200300400500

Peers

Elmar Nimmesgern
Comparison fields: 5 of 103
  • Molecular Biology 1.9k
  • Transplantation 72
  • Physiology 115
  • Aging 38
  • Cell Biology 297
Replace Toshiya Hayano with:
Toshiya Hayano Japan
Daniel R. Boutz United States
Kurt J. Henle United States
da Fonseca United Kingdom
Søren Naaby‐Hansen United States
Joachim Rassow Germany
Xun Zhao United States
Yasuo Shirakihara Japan
Marion Schmidt United States
James E. Rothman United States
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Citations per field
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Citations per year

Countries citing papers authored by Elmar Nimmesgern

Since Specialization
Citations

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

Fields of papers citing papers by Elmar Nimmesgern

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

18 of 18 papers shown
#Work
1 200369
2 200220
3 200224
4
The novel IMPDH inhibitor VX-497 prolongs skin graft survival and improves graft versus host disease in mice.
20015
5 2000156
6 199951
7 19992
8 19991
9 199648
10 199634
11 1996345
12 199567
13 19959
14
Folding of nascent polypeptide chains in a high molecular mass assembly with molecular chaperonesbreakdown →
1994565
15 199356
16 19922
17 1992360
18 1991271

About Elmar Nimmesgern

Elmar Nimmesgern is a scholar working on Physiology, Transplantation and Molecular Biology, having authored 18 papers that have together received 2.1k indexed citations. Recurring topics across this work include Biochemical and Molecular Research (9 papers), Heat shock proteins research (8 papers), Cytomegalovirus and herpesvirus research (6 papers), Enzyme Structure and Function (5 papers), Adenosine and Purinergic Signaling (4 papers), Protein Structure and Dynamics (4 papers), HIV/AIDS drug development and treatment (3 papers) and Toxin Mechanisms and Immunotoxins (3 papers). The work is most often cited by research in Molecular Biology (1.9k citations), Transplantation (72 citations) and Physiology (115 citations). Elmar Nimmesgern has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include F. Ulrich Hartl, Judith Frydman, Kenzo Ohtsuka, Michael D. Sintchak, Hediye Erdjument‐Bromage, J.S. Wall, Paul Tempst, Arthur L. Horwich, Jonathan D. Trent and Joseph S. Wall. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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