Calvin E. Hwang

29 papers receiving 728 citations

Calvin E. Hwang's Hit Papers

Wastewater-Based Detection of Two Influenza Outbreaks 2022 · 125 citations
1250+1+2Years since publication4080120

Peers

Calvin E. Hwang
Comparison fields: 5 of 99
  • Endocrine and Autonomic Systems 154
  • Aging 22
  • Orthopedics and Sports Medicine 59
  • Infectious Diseases 118
  • Cognitive Neuroscience 113
Replace Marcel den Hoed with:
Marcel den Hoed Sweden
Thomas Bollinger Germany
Kazuki Okada Japan
Chris King United States
Ali Abbara United Kingdom
Vittore Verratti Italy
E. W. Powell United States
G Geyer Austria
Mike Patterson United Kingdom
Connie Dzekov United States
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Countries citing papers authored by Calvin E. Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Calvin E. Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Calvin E. Hwang. 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 Calvin E. Hwang. The network helps show where Calvin E. Hwang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008197
2
Wastewater-Based Detection of Two Influenza Outbreaks
Hit paper breakdown →
2022125
3 200396
4 201593
5 202243
6 201541
7 202219
8 202015
9 202214
10 202113
11 202112
12 202212
13 202110
14 20229
15 20149
16 20215
17 20224
18 20244
19 20224
20 20214

About Calvin E. Hwang

Calvin E. Hwang is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Epidemiology, Infectious Diseases and Orthopedics and Sports Medicine, having authored 32 papers that have together received 745 indexed citations. Recurring topics across this work include Cardiovascular Effects of Exercise (7 papers), Traumatic Brain Injury Research (4 papers), Knee injuries and reconstruction techniques (4 papers), Sports injuries and prevention (4 papers), Cardiac electrophysiology and arrhythmias (3 papers), SARS-CoV-2 detection and testing (3 papers), Viral-associated cancers and disorders (2 papers) and Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (154 citations), Aging (22 citations), Orthopedics and Sports Medicine (59 citations), Infectious Diseases (118 citations) and Cognitive Neuroscience (113 citations). Calvin E. Hwang has collaborated with scholars based in United States, China and Thailand. Frequent co-authors include Fabian‐Xosé Fernandez, Colin Wessells, Norman F. Ruby, Pei Zhang, Robert M. Sapolsky, H. Craig Heller, Geoffrey D. Abrams, Michelle Xiao, Grant S. Lipman and Hazel Huang. Their work appears in journals such as JAMA Network Open, The American Journal of Sports Medicine, Clinical Journal of Sport Medicine, Orthopaedic Journal of Sports Medicine and Obesity.

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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