Chris Wang

1.0k citations
34 papers · 741 indexed · h-index 12

Impact in

Papers in

    • CRISPR and Genetic Engineering 3
    • RNA Research and Splicing 2
    • Spinal Fractures and Fixation Techniques 3

Chris Wang

31 papers receiving 726 citations

Peers

Chris Wang
Comparison fields: 5 of 90
  • Aging 43
  • Radiology, Nuclear Medicine and Imaging 283
  • Surgery 349
  • Cardiology and Cardiovascular Medicine 154
  • Pulmonary and Respiratory Medicine 168
Replace Kyle Wang with:
Kyle Wang United States
Charles Roux France
Nicola J. Nasser Israel
Jinsong Wang China
Makoto Sata Japan
Ayla O. White United States
Masayoshi Miura Japan
Takashi Shuto Japan
Lars Stelter Germany
Yuichi Ozawa Japan
Chris Wang relative to Kyle Wang United States Kyle Wang's profile →
Citations per field
00.5×3.6×
Kyle Wang · 1×
Citations per year

Countries citing papers authored by Chris Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chris Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995231
2 1995154
3 2011103
4 201648
5 201526
6 201224
7 202123
8 202014
9 202313
10 201913
11 201712
12 202011
13 20168
14 20178
15 20238
16 20228
17 20055
18 20135
19 20214
20 20234

About Chris Wang

Chris Wang is a scholar working on Molecular Biology, Surgery, Pulmonary and Respiratory Medicine, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 34 papers that have together received 741 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (4 papers), CRISPR and Genetic Engineering (3 papers), Venous Thromboembolism Diagnosis and Management (3 papers), CAR-T cell therapy research (3 papers), Neurofibromatosis and Schwannoma Cases (3 papers), Spinal Fractures and Fixation Techniques (3 papers), Cancer Treatment and Pharmacology (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Aging (43 citations), Radiology, Nuclear Medicine and Imaging (283 citations), Surgery (349 citations), Cardiology and Cardiovascular Medicine (154 citations) and Pulmonary and Respiratory Medicine (168 citations). Chris Wang has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Spencer B. King, Ian Crocker, Michael B. Gravanis, Gustavo D. Cipolla, Ron Waksman, Spencer J. Palmer, Keith A. Robinson, Dave Hansen, Michael Tu and Micheline Guillotte. Their work appears in journals such as Journal of Clinical Oncology, Scientific Reports, Operative Neurosurgery, Circulation and Clinical Neurology and Neurosurgery.

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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