Tim Eiseler

2.6k citations
44 papers · 2.1k · 1 hit paper · h-index 22

Impact in

Papers in

Tim Eiseler

44 papers receiving 2.1k citations

Tim Eiseler's Hit Papers

SARS-CoV-2 infects and replicates in cells of the human endocrine and exocrine pancreas 2021 · 403 citations
4030+1+3Years since publication100200300400

Peers

Tim Eiseler
Comparison fields: 5 of 109
  • Immunology and Allergy 144
  • Cell Biology 396
  • Cancer Research 259
  • Molecular Biology 1.1k
  • Infectious Diseases 254
Replace Yoko Hamazaki with:
Yoko Hamazaki Japan
Jiehong Pan United States
Chun Gao China
Mary M. Migliorini United States
Erika S. Wittchen United States
Alexander R. van Vliet Belgium
Thérèse B. Deramaudt France
Hiroyasu Inada Japan
Xiaohong Yao China
Yosuke Tanaka Japan
Tim Eiseler relative to Yoko Hamazaki Japan Yoko Hamazaki's profile →
Citations per field
00.5×2×3.0×
Yoko Hamazaki · 1×
Citations per year

Countries citing papers authored by Tim Eiseler

Since Specialization
Citations

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

Fields of papers citing papers by Tim Eiseler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1
SARS-CoV-2 infects and replicates in cells of the human endocrine and exocrine pancreas
Hit paper breakdown →
2021403
2 2009204
3 2016179
4 2009130
5 2002118
6 201093
7 201285
8 201774
9 202062
10 200956
11 200255
12 201354
13 200751
14 201549
15 201844
16 201542
17 201140
18 201236
19 201632
20 202331

About Tim Eiseler

Tim Eiseler is a scholar working on Cell Biology, Immunology and Allergy, Cancer Research, Molecular Biology and Oncology, having authored 44 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (11 papers), Cell Adhesion Molecules Research (10 papers), Extracellular vesicles in disease (7 papers), Protein Kinase Regulation and GTPase Signaling (6 papers), Microtubule and mitosis dynamics (4 papers), Protease and Inhibitor Mechanisms (4 papers), MicroRNA in disease regulation (4 papers) and 3D Printing in Biomedical Research (3 papers). The work is most often cited by research in Immunology and Allergy (144 citations), Cell Biology (396 citations), Cancer Research (259 citations), Molecular Biology (1.1k citations) and Infectious Diseases (254 citations). Tim Eiseler has collaborated with scholars based in Germany, United States and Belgium. Frequent co-authors include Peter Störz, Heike R. Döppler, Irene K. Yan, Thomas Theodor Werner Seufferlein, Angelika Haußer, Klaus Pfizenmaier, Kensaku Mizuno, Kanae Kitatani, Steve Goodison and Johan Van Lint. Their work appears in journals such as Journal of Biological Chemistry, Scientific Reports, Journal of Cell Science, Cancers and Molecular Biology of the Cell.

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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