Robert Chong

1.2k citations
29 papers · 710 · h-index 11

Impact in

Papers in

    • Ubiquitin and proteasome pathways 6
    • Protein Degradation and Inhibitors 2
    • Glycosylation and Glycoproteins Research 1
    • Glioma Diagnosis and Treatment 5

Robert Chong

28 papers receiving 700 citations

Peers

Robert Chong
Comparison fields: 5 of 84
  • Pathology and Forensic Medicine 240
  • Oncology 223
  • Cancer Research 107
  • Ophthalmology 45
  • Molecular Biology 336
Replace Jan P. Baak with:
Jan P. Baak Norway
Anette Weber Germany
Shinji Ozaki Japan
Lu Li China
Leonel F. Hernandez‐Aya United States
Alessio Fabozzi Italy
Michela Quirino Italy
Hong Ling China
Iosune Baraibar Spain
L. Peuvrel France
Robert Chong relative to Jan P. Baak Norway Jan P. Baak's profile →
Citations per field
00.5×3.8×
Jan P. Baak · 1×
Citations per year

Countries citing papers authored by Robert Chong

Since Specialization
Citations

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

Fields of papers citing papers by Robert Chong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009350
2 2012117
3 201645
4 200228
5 201422
6 201121
7 202419
8 199919
9 200514
10 201813
11 201410
12 20109
13 20078
14
A study of needle-stick injuries among house officers in a major hospital.
19947
15 20064
16 20174
17 20163
18 20203
19 20113
20 20063

About Robert Chong

Robert Chong is a scholar working on Molecular Biology, Genetics, Ophthalmology, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 29 papers that have together received 710 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (6 papers), Glioma Diagnosis and Treatment (5 papers), Retinal Diseases and Treatments (3 papers), Protein Degradation and Inhibitors (2 papers), Cancer-related Molecular Pathways (2 papers), Peptidase Inhibition and Analysis (2 papers), Glycosylation and Glycoproteins Research (1 paper) and MRI in cancer diagnosis (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (240 citations), Oncology (223 citations), Cancer Research (107 citations), Ophthalmology (45 citations) and Molecular Biology (336 citations). Robert Chong has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Yong Wei, Guohong Hu, Qifeng Yang, Yibin Kang, Michael Reiß, Feng Li, Jessie L.‐S. Au, Andrés Blanco, Bruce G. Haffty and Xin Lü. Their work appears in journals such as Neuro-Oncology Advances, Neuro-Oncology, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences and Journal of Cataract & Refractive Surgery.

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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