Tom A. Rapoport
Impact in
- Cell Biology top 0.01%
- Endoplasmic Reticulum Stress and Disease
- Cellular transport and secretion
- Molecular Biology top 0.05%
- RNA and protein synthesis mechanisms
- Lipid Membrane Structure and Behavior
- Ubiquitin and proteasome pathways
- Protein Structure and Dynamics
Papers in
- Cell Biology 120
- Endoplasmic Reticulum Stress and Disease 67
- Cellular transport and secretion 63
- Microtubule and mitosis dynamics 19
-
- RNA and protein synthesis mechanisms 75
- Lipid Membrane Structure and Behavior 34
- Ubiquitin and proteasome pathways 19
- Co-authors
- Enno HartmannReinhart HeinrichYihong YeYoko ShibataWilliam A. PrinzGia K. VoeltzHemmo MeyerSiegfried Prehn
- Journals
- Cell (27 papers)The Journal of Cell Biology (24 papers)Nature (23 papers)European Journal of Biochemistry (15 papers)Journal of Biological Chemistry (13 papers)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Tom A. Rapoport
243 papers receiving 32.2k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Cell Biology 14.1k
- Molecular Biology 24.0k
- Genetics 6.2k
- Aging 347
- Structural Biology 254
Countries citing papers authored by Tom A. Rapoport
This map shows the geographic impact of Tom A. Rapoport'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 Tom A. Rapoport with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom A. Rapoport more than expected).
Fields of papers citing papers by Tom A. Rapoport
This network shows the impact of papers produced by Tom A. Rapoport. 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 Tom A. Rapoport. The network helps show where Tom A. Rapoport may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom A. Rapoport, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 9 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 14 | |
| 7 | 2023 | 10 | |
| 8 | 2022 | 39 | |
| 9 | 2022 | 52 | |
| 10 | 2021 | 72 | |
| 11 | 2021 | 55 | |
| 12 | 2020 | 158 | |
| 13 | 2020 | 10 | |
| 14 | 2019 | 221 | |
| 15 | 2015 | 12 | |
| 16 | 2014 | 83 | |
| 17 | 2011 | 189 | |
| 18 | 2004 | 178 | |
| 19 | 2002 | 135 | |
| 20 | 1991 | 30 |
About Tom A. Rapoport
Tom A. Rapoport is a scholar working on Cell Biology, Molecular Biology, Genetics, Structural Biology and Molecular Medicine, having authored 246 papers that have together received 32.8k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (75 papers), Endoplasmic Reticulum Stress and Disease (67 papers), Cellular transport and secretion (63 papers), Bacterial Genetics and Biotechnology (62 papers), Lipid Membrane Structure and Behavior (34 papers), Microtubule and mitosis dynamics (19 papers), Ubiquitin and proteasome pathways (19 papers) and Pancreatic function and diabetes (18 papers). The work is most often cited by research in Cell Biology (14.1k citations), Molecular Biology (24.0k citations), Genetics (6.2k citations), Aging (347 citations) and Structural Biology (254 citations). Tom A. Rapoport has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Enno Hartmann, Reinhart Heinrich, Yihong Ye, Yoko Shibata, William A. Prinz, Gia K. Voeltz, Hemmo Meyer, Siegfried Prehn, Billy Tsai and Walther Mothes. Their work appears in journals such as Cell, The Journal of Cell Biology, Nature, European Journal of Biochemistry 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.