Brian Huang

28 papers receiving 588 citations

Peers

Brian Huang
Comparison fields: 5 of 111
  • Dermatology 89
  • Emergency Medical Services 66
  • Periodontics 26
  • Anesthesiology and Pain Medicine 29
  • Radiology, Nuclear Medicine and Imaging 106
Replace Nadine Petitpain with:
Nadine Petitpain France
Lydia C.W. Lit Hong Kong
James B. Canavan United Kingdom
Zhenlu Zhang China
Charu Taneja United States
Maria Sofia Italy
Ada Aita Italy
Luisa Marchioni Italy
Zhiwei Li China
Xiaoqing Liu China
Brian Huang relative to Nadine Petitpain France Nadine Petitpain's profile →
Citations per field
00.5×6.5×
Nadine Petitpain · 1×
Citations per year

Countries citing papers authored by Brian Huang

Since Specialization
Citations

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

Fields of papers citing papers by Brian Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012126
2 201174
3 202261
4 201458
5 201048
6 200230
7 201529
8 201427
9 200321
10 200318
11 200216
12 200915
13 201414
14 200210
15 201510
16 20239
17 20018
18 20218
19 20047
20 20015

About Brian Huang

Brian Huang is a scholar working on Hematology, Epidemiology, Genetics, Genetics and Surgery, having authored 33 papers that have together received 611 indexed citations. Recurring topics across this work include Blood Coagulation and Thrombosis Mechanisms (8 papers), Autoimmune and Inflammatory Disorders (5 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (4 papers), Hidradenitis Suppurativa and Treatments (4 papers), Atrial Fibrillation Management and Outcomes (4 papers), Inflammatory Bowel Disease (4 papers), Vitamin K Research Studies (3 papers) and Experimental Learning in Engineering (3 papers). The work is most often cited by research in Dermatology (89 citations), Emergency Medical Services (66 citations), Periodontics (26 citations), Anesthesiology and Pain Medicine (29 citations) and Radiology, Nuclear Medicine and Imaging (106 citations). Brian Huang has collaborated with scholars based in United States, China and Germany. Frequent co-authors include David Q. Shih, Julie Jefferson, Paul Wong, Leonard A. Mermel, Trong Trinh, Brian Hollenbeck, Philip A. Chan, Uma Sinha, Robert M. Scarborough and Steven F. Moss. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Gastroenterology, Gastrointestinal Endoscopy, Clinical Gastroenterology and Hepatology and International journal of greenhouse gas control.

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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