Robert J. Tomko

2.0k citations
36 papers · 1.6k indexed · h-index 19
    • Endoplasmic Reticulum Stress and Disease 15
    • Ubiquitin and proteasome pathways 22
    • Glycosylation and Glycoproteins Research 8
    • RNA modifications and cancer 4
    • Muscle Physiology and Disorders 3
    • DNA Repair Mechanisms 2
  • Aging top 10%
  • Oncology top 10%
    • Peptidase Inhibition and Analysis 7
    • Autophagy in Disease and Therapy 8

Robert J. Tomko

35 papers receiving 1.5k citations

Peers

Robert J. Tomko
Comparison fields: 5 of 88
  • Cell Biology 505
  • Molecular Biology 1.3k
  • Cancer Research 235
  • Aging 26
  • Oncology 276
Replace Ilia V. Davydov with:
Ilia V. Davydov United States
Hélène Tourrière France
Lihao Meng United States
Andrei L. Okorokov United Kingdom
John P. Wing United States
Steven Bergink Netherlands
Masashige Bando Japan
Pia Roos‐Mattjus Finland
Itay Koren Israel
Craig R. Stumpf United States
Robert J. Tomko relative to Ilia V. Davydov United States Ilia V. Davydov's profile →
Citations per field
00.5×3.7×
Ilia V. Davydov · 1×
Citations per year

Countries citing papers authored by Robert J. Tomko

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Robert J. Tomko Line = papers co-authored together Robert J. Tomko links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20244
2 20230
3 20234
4 202030
5 202023
6 20209
7 20192
8 201914
9 201889
10 201559
11 201460
12 201143
13 201157
14 2010115
15 201029
16 2009261
17 20098
18 200817
19 200627
20 200638

About Robert J. Tomko

Robert J. Tomko is a scholar working on Cell Biology, Molecular Biology, Oncology, Toxicology and Epidemiology, 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 DNA Repair Mechanisms (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 United Kingdom. Frequent co-authors include Mark Hochstrasser, M Funakoshi, John S. Lazo, Hideki Kobayashi, Zhenghe Wang, Jian Yu, Fangdong Zou, Peng Wang, Lin Zhang and Hua Li. 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.

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