Bob Yin

1.7k citations
11 papers · 1.2k · 1 hit paper · h-index 7

Impact in

  • Oncology top 5%
    • Cancer-related Molecular Pathways
    • Cancer Genomics and Diagnostics
    • Cancer, Hypoxia, and Metabolism

Papers in

    • Shoulder Injury and Treatment 6
    • Trauma Management and Diagnosis 4
    • Shoulder and Clavicle Injuries 5

Bob Yin

11 papers receiving 1.2k citations

Bob Yin's Hit Papers

Mutant p53 Gain of Function in Two Mouse Models of Li-Fraumeni Syndrome 2004 · 975 citations
9750+7+14Years since publication250500750

Peers

Bob Yin
Comparison fields: 5 of 75
  • Oncology 676
  • Cancer Research 285
  • Biotechnology 159
  • Molecular Biology 635
  • Surgery 187
Replace Martha E. Lopez with:
Martha E. Lopez United States
Tetsuji Sawada Japan
Kris Persaud United States
Benjamin Tiede United States
Julian Schardt Switzerland
Tina E. Wood United States
Bill Angus United Kingdom
Lidia Moserle Italy
Chiara Nicolazzo Italy
Masato Suzuoki Japan
Bob Yin relative to Martha E. Lopez United States Martha E. Lopez's profile →
Citations per field
00.5×6.1×
Martha E. Lopez · 1×
Citations per year

Countries citing papers authored by Bob Yin

Since Specialization
Citations

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

Fields of papers citing papers by Bob Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1
Mutant p53 Gain of Function in Two Mouse Models of Li-Fraumeni Syndrome
Hit paper breakdown →
2004975
2 201293
3 201542
4 201524
5 201318
6 201215
7 201310
8 20106
9 20123
10 20113
11
Simultaneous use of 2 C-arm devices facilitates percutaneous treatment of proximal humerus fractures.
20122

About Bob Yin

Bob Yin is a scholar working on Surgery, Epidemiology, Oncology, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 11 papers that have together received 1.2k indexed citations. Recurring topics across this work include Shoulder Injury and Treatment (6 papers), Shoulder and Clavicle Injuries (5 papers), Trauma Management and Diagnosis (4 papers), Cancer Research and Treatments (1 paper), Bone health and treatments (1 paper), Bone and Joint Diseases (1 paper), Hedgehog Signaling Pathway Studies (1 paper) and Cardiac Arrhythmias and Treatments (1 paper). The work is most often cited by research in Oncology (676 citations), Cancer Research (285 citations), Biotechnology (159 citations), Molecular Biology (635 citations) and Surgery (187 citations). Bob Yin has collaborated with scholars based in United States and Indonesia. Frequent co-authors include Denise Crowley, Tyler Jacks, Zachary C. Ruhe, Roderick T. Bronson, Nicholas A. Willis, David A. Tuveson, Kenneth P. Olive, Edwin R. Cadet, Andrew K. Chan and George C. Vorys. Their work appears in journals such as Journal of Shoulder and Elbow Surgery, Journal of Bone and Joint Surgery, Clinical Orthopaedics and Related Research, Orthopedics and Cell.

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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