Andreas Evers

55 papers receiving 1.6k citations

Peers

Andreas Evers
Comparison fields: 5 of 97
  • Computational Theory and Mathematics 528
  • Endocrinology, Diabetes and Metabolism 281
  • Molecular Biology 1.1k
  • Cellular and Molecular Neuroscience 280
  • Radiology, Nuclear Medicine and Imaging 275
Replace Minos–Timotheos Matsoukas with:
Minos–Timotheos Matsoukas Greece
Sylva L. U. Schwager South Africa
Sonia Lobo Planey United States
John W. Clader United States
Mark Namchuk United States
Richard Morphy United Kingdom
Ralph T. Mosley United States
Marcel Bermúdez Germany
Jordi Rodrigo France
Andreas Evers relative to Minos–Timotheos Matsoukas Greece Minos–Timotheos Matsoukas's profile →
Citations per field
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Minos–Timotheos Matsoukas · 1×
Citations per year

Countries citing papers authored by Andreas Evers

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Evers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005178
2 2005127
3 2004126
4 200996
5 201395
6 201789
7 200386
8 200371
9 200558
10 200947
11 201840
12 201537
13 202033
14 201232
15 200332
16 201830
17 201230
18 202226
19 200525
20 200624

About Andreas Evers

Andreas Evers is a scholar working on Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism, Molecular Biology and Computational Theory and Mathematics, having authored 55 papers that have together received 1.6k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (15 papers), Receptor Mechanisms and Signaling (14 papers), Neuropeptides and Animal Physiology (12 papers), Diabetes Treatment and Management (10 papers), Chemical Synthesis and Analysis (9 papers), Computational Drug Discovery Methods (9 papers), Protein purification and stability (7 papers) and CAR-T cell therapy research (5 papers). The work is most often cited by research in Computational Theory and Mathematics (528 citations), Endocrinology, Diabetes and Metabolism (281 citations), Molecular Biology (1.1k citations), Cellular and Molecular Neuroscience (280 citations) and Radiology, Nuclear Medicine and Imaging (275 citations). Andreas Evers has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Thomas Klabunde, G. Klebe, Michael Wagner, M. Lorenz, Gerhard Heßler, Hans Matter, Holger Gohlke, Martin Bossart, Torsten Haack and Ralf Elvert. Their work appears in journals such as Journal of Medicinal Chemistry, mAbs, Protein Science, Bioorganic & Medicinal Chemistry Letters and ChemMedChem.

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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