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 22
- Glycosylation and Glycoproteins Research 8
- RNA modifications and cancer 4
- Muscle Physiology and Disorders 3
- Epigenetics and DNA Methylation 2
- 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)Zhenghe Wang (1 shared paper)Hua Li (1 shared paper)Jian Yu (1 shared paper)
- Journals
- Journal of Biological Chemistry (5 papers)Cell Reports (4 papers)Molecular Cell (3 papers)Cell (2 papers)Biomolecules (2 papers)
- Partner nations
- United StatesGermanySouth Korea
In The Last Decade
Robert J. Tomko
35 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 88
- Cell Biology 505
- Molecular Biology 1.3k
- Cancer Research 235
- Aging 26
- Oncology 276
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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 303 | |
| 2 | 2009 | 261 | |
| 3 | 2009 | 136 | |
| 4 | 2010 | 115 | |
| 5 | 2018 | 89 | |
| 6 | 2014 | 60 | |
| 7 | 2015 | 59 | |
| 8 | 2011 | 57 | |
| 9 | 2017 | 55 | |
| 10 | 2011 | 43 | |
| 11 | 2006 | 38 | |
| 12 | 2020 | 30 | |
| 13 | 2010 | 29 | |
| 14 | 2019 | 29 | |
| 15 | 2006 | 27 | |
| 16 | 2015 | 26 | |
| 17 | 2020 | 23 | |
| 18 | 2013 | 22 | |
| 19 | 2019 | 20 | |
| 20 | 2008 | 17 |
About Robert J. Tomko
Robert J. Tomko is a scholar working on Molecular Biology, Cell Biology, Oncology, Epidemiology and Genetics, having authored 36 papers that have together received 1.6k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (22 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 Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Cell Biology (505 citations), Molecular Biology (1.3k citations), Cancer Research (235 citations), Aging (26 citations) and Oncology (276 citations). Robert J. Tomko has collaborated with scholars based in United States, Germany and South Korea. Frequent co-authors include Mark Hochstrasser, M Funakoshi, John S. Lazo, Hideki Kobayashi, Peng Wang, Zhenghe Wang, Hua Li, Jian Yu, Austin Dulak and Fangdong Zou. Their work appears in journals such as Journal of Biological Chemistry, Cell Reports, Molecular Cell, Cell and Biomolecules.
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.