Ursula Egner

2.6k citations
37 papers · 1.8k · h-index 21

Impact in

Papers in

    • Protein Structure and Dynamics 5
    • Photosynthetic Processes and Mechanisms 5
    • RNA and protein synthesis mechanisms 4
    • Biochemical and Structural Characterization 3
    • Estrogen and related hormone effects 9

Ursula Egner

36 papers receiving 1.7k citations

Peers

Ursula Egner
Comparison fields: 5 of 111
  • Endocrinology, Diabetes and Metabolism 303
  • Genetics 491
  • Molecular Biology 1.1k
  • Toxicology 39
  • Computational Theory and Mathematics 187
Replace Eugene L. Stewart with:
Eugene L. Stewart United States
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Kjeld Norris Denmark
Robert X. Xu United States
E. T. Kaiser United States
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Ursula Egner relative to Eugene L. Stewart United States Eugene L. Stewart's profile →
Citations per field
00.5×1.5×
Eugene L. Stewart · 1×
Citations per year

Countries citing papers authored by Ursula Egner

Since Specialization
Citations

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

Fields of papers citing papers by Ursula Egner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000482
2 2016280
3 1987122
4 198493
5 200685
6 200266
7 199158
8 199153
9 199852
10 200644
11 200837
12 198935
13 200334
14 200833
15 199932
16 200729
17 201628
18 200528
19 200227
20 200125

About Ursula Egner

Ursula Egner is a scholar working on Molecular Biology, Genetics, Materials Chemistry, Computational Theory and Mathematics and Oncology, having authored 37 papers that have together received 1.8k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (9 papers), Computational Drug Discovery Methods (7 papers), Enzyme Structure and Function (7 papers), Protein Structure and Dynamics (5 papers), Photosynthetic Processes and Mechanisms (5 papers), RNA and protein synthesis mechanisms (4 papers), Polyomavirus and related diseases (3 papers) and Biochemical and Structural Characterization (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (303 citations), Genetics (491 citations), Molecular Biology (1.1k citations), Toxicology (39 citations) and Computational Theory and Mathematics (187 citations). Ursula Egner has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Peter Donner, R. Leberman, M. Thomaz, Pedro M. Matias, M.A. Carrondo, Alfredo G. Tomasselli, Georg E. Schulz, Roderick E. Hubbard, Chun‐wa Chung and Jean‐Paul Renaud. Their work appears in journals such as Journal of Medicinal Chemistry, Tetrahedron, Journal of Cutaneous Pathology, Journal of Molecular Biology and FEBS Letters.

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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