Robert J. Tomko
Impact in
- Cell Biology top 2%
- Endoplasmic Reticulum Stress and Disease
- Molecular Biology top 5%
- Ubiquitin and proteasome pathways
- Glycosylation and Glycoproteins Research
- RNA modifications and cancer
- Circular RNAs in diseases
Papers in
-
- Ubiquitin and proteasome pathways 24
- Glycosylation and Glycoproteins Research 8
- RNA modifications and cancer 4
- Muscle Physiology and Disorders 3
- Cell Biology 15
- Endoplasmic Reticulum Stress and Disease 15
- Co-authors
- Mark Hochstrasser (10 shared papers)M Funakoshi (3 shared papers)John S. Lazo (3 shared papers)Hideki Kobayashi (1 shared paper)Peng Wang (1 shared paper)Lin Zhang (1 shared paper)Jian Yu (1 shared paper)Hua Li (1 shared paper)
- Journals
- Journal of Biological Chemistry (6 papers)Cell Reports (4 papers)Molecular Cell (3 papers)Biomolecules (2 papers)Cancer Research (2 papers)
- Partner nations
- United StatesGermanyIreland
In The Last Decade
Robert J. Tomko
36 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 87
- Cell Biology 506
- Molecular Biology 1.3k
- Cancer Research 223
- Aging 25
- Oncology 274
Countries citing papers authored by Robert J. Tomko
This map shows the geographic impact of Robert J. Tomko'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 Robert J. Tomko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert J. Tomko more than expected).
Fields of papers citing papers by Robert J. Tomko
This network shows the impact of papers produced by Robert J. Tomko. 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 Robert J. Tomko. The network helps show where Robert J. Tomko may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert J. Tomko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 313 | |
| 2 | 2009 | 269 | |
| 3 | 2009 | 143 | |
| 4 | 2010 | 122 | |
| 5 | 2018 | 94 | |
| 6 | 2014 | 62 | |
| 7 | 2015 | 62 | |
| 8 | 2011 | 60 | |
| 9 | 2017 | 56 | |
| 10 | 2011 | 46 | |
| 11 | 2006 | 40 | |
| 12 | 2020 | 32 | |
| 13 | 2010 | 31 | |
| 14 | 2019 | 30 | |
| 15 | 2006 | 30 | |
| 16 | 2015 | 26 | |
| 17 | 2020 | 23 | |
| 18 | 2013 | 22 | |
| 19 | 2019 | 21 | |
| 20 | 2008 | 19 |
About Robert J. Tomko
Robert J. Tomko is a scholar working on Molecular Biology, Cell Biology, Oncology, Epidemiology and Genetics, having authored 39 papers that have together received 1.6k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (24 papers), Endoplasmic Reticulum Stress and Disease (15 papers), Glycosylation and Glycoproteins Research (8 papers), Autophagy in Disease and Therapy (8 papers), Peptidase Inhibition and Analysis (7 papers), RNA modifications and cancer (4 papers), Muscle Physiology and Disorders (3 papers) and Genetics and Neurodevelopmental Disorders (2 papers). The work is most often cited by research in Cell Biology (506 citations), Molecular Biology (1.3k citations), Cancer Research (223 citations), Aging (25 citations) and Oncology (274 citations). Robert J. Tomko has collaborated with scholars based in United States, Germany and Ireland. Frequent co-authors include Mark Hochstrasser, M Funakoshi, John S. Lazo, Hideki Kobayashi, Peng Wang, Lin Zhang, Jian Yu, Hua Li, Zhenghe Wang and Austin Dulak. Their work appears in journals such as Journal of Biological Chemistry, Cell Reports, Molecular Cell, Biomolecules and Cancer Research.
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.