Robert D. Kendig

698 citations
15 papers · 574 · h-index 12

Impact in

  • Oncology top 10%
    • Cancer-related Molecular Pathways
    • Cancer Cells and Metastasis
    • HER2/EGFR in Cancer Research
  • Toxicology top 10%

Papers in

    • Ubiquitin and proteasome pathways 4
    • RNA modifications and cancer 3
    • Epigenetics and DNA Methylation 3
    • Genomics and Chromatin Dynamics 2
    • Cancer-related Molecular Pathways 9
    • Cytokine Signaling Pathways and Interactions 1

Robert D. Kendig

15 papers receiving 562 citations

Peers

Robert D. Kendig
Comparison fields: 5 of 77
  • Oncology 276
  • Toxicology 24
  • Cancer Research 91
  • Molecular Biology 326
  • Cell Biology 55
Replace Hong Chang with:
Hong Chang United States
Sherif Tawfic United States
Ruth Ruddle United Kingdom
Ying-Yi Li China
Víctor J. Sánchez‐Arévalo Lobo Spain
Zoi Karoulia United States
Rebecca L. Lynch United States
Ho-June Lee France
Vicky Pui‐Chi Tin Hong Kong
Jennifer M. Shipman United States
Robert D. Kendig relative to Hong Chang United States Hong Chang's profile →
Citations per field
00.5×2.9×
Hong Chang · 1×
Citations per year

Countries citing papers authored by Robert D. Kendig

Since Specialization
Citations

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

Fields of papers citing papers by Robert D. Kendig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert D. Kendig. 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 D. Kendig. The network helps show where Robert D. Kendig may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2010125
2 201064
3 201258
4 200956
5 200742
6 201135
7 201234
8 201033
9 200933
10 198332
11 201230
12 200812
13 200810
14 20179
15 20111

About Robert D. Kendig

Robert D. Kendig is a scholar working on Molecular Biology, Oncology, Cell Biology, Genetics and Cancer Research, having authored 15 papers that have together received 574 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (9 papers), Ubiquitin and proteasome pathways (4 papers), RNA modifications and cancer (3 papers), Epigenetics and DNA Methylation (3 papers), Genomics and Chromatin Dynamics (2 papers), Cholinesterase and Neurodegenerative Diseases (1 paper), Cytokine Signaling Pathways and Interactions (1 paper) and Connective tissue disorders research (1 paper). The work is most often cited by research in Oncology (276 citations), Toxicology (24 citations), Cancer Research (91 citations), Molecular Biology (326 citations) and Cell Biology (55 citations). Robert D. Kendig has collaborated with scholars based in United States. Frequent co-authors include Kazushi Inoue, Dejan Maglic, Fumitake Kai, Pankaj Taneja, Sinan Zhu, Donna P. Frazier, Takayuki Sugiyama, Harshani R. Lawrence, Yunting Luo and Mark C. Willingham. Their work appears in journals such as Cancer Research, Bioorganic & Medicinal Chemistry, The Journal of Immunology, Expert Review of Molecular Diagnostics and Journal of Medicinal 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.

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