Kevin H. Wang

3.8k citations
38 papers · 2.2k indexed · 2 hit papers · h-index 18
Topics
Head and Neck Cancer Studies (9 papers)Global Cancer Incidence and Screening (4 papers)Thyroid Cancer Diagnosis and Treatment (4 papers)
Partner nations
United StatesItalyIndia

In The Last Decade

Kevin H. Wang

31 papers receiving 2.2k citations

Hit Papers

Screening and large-scale expression of membrane proteins...201320262017202120142013100200300400500

Peers

Kevin H. Wang
Comparison fields: 5 of 128
  • Molecular Biology 1.3k
  • Cellular and Molecular Neuroscience 740
  • Oncology 221
  • Otorhinolaryngology 176
  • Surgery 163
Replace Takayoshi Suzuki with:
Takayoshi Suzuki Japan
Chikara Murakata Japan
Steven I. Dworetzky United States
Maria Rosa Mazzoni Italy
Mathias Rask‐Andersen Sweden
Kavita Shah United States
Guido Slegers Belgium
David S. Duch United States
Xinzhi Zhao China
Andrew Hughes United Kingdom
Kevin H. Wang relative to Takayoshi Suzuki Japan Takayoshi Suzuki's profile →
Citations per field
00.5×2.6×
Takayoshi Suzuki · 1×
Citations per year

Countries citing papers authored by Kevin H. Wang

Since Specialization
Citations

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

Fields of papers citing papers by Kevin H. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin H. Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin H. Wang. A scholar is included among the top collaborators of Kevin H. Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kevin H. Wang. Kevin H. Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 0
4 0
5 7
6 2
7 0
8 30
9 9
10 129
11 17
12
Screening and large-scale expression of membrane proteins in mammalian cells for structural studiesbreakdown →
503
13 116
14
X-ray structure of dopamine transporter elucidates antidepressant mechanismbreakdown →
490
15 15
16 36
17 49
18 74
19 62
20 24

About Kevin H. Wang

Kevin H. Wang is a scholar working on Otorhinolaryngology, Aging and Periodontics, having authored 38 papers that have together received 2.2k indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (9 papers), Global Cancer Incidence and Screening (4 papers) and Thyroid Cancer Diagnosis and Treatment (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (740 citations), Otorhinolaryngology (176 citations) and Sensory Systems (145 citations). Kevin H. Wang has collaborated with scholars based in United States, Italy and India. Frequent co-authors include Eric Gouaux, Aravind Penmatsa, April Goehring, Derek P. Claxton, Isabelle Baconguis, Suzanne Fischer, Jennifer Carlisle Michel, Thorsten Althoff, K. Christopher García and Robert T. Sauer. Their work appears in journals such as Nature, Journal of Biological Chemistry and Genes & Development.

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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