Stephen Yang

2.3k citations
31 papers · 743 indexed · h-index 13

Stephen Yang

28 papers receiving 720 citations

Peers

Stephen Yang
Comparison fields: 5 of 92
  • Anesthesiology and Pain Medicine 58
  • Nephrology 60
  • Critical Care and Intensive Care Medicine 42
  • Cancer Research 117
  • Molecular Biology 329
Replace Gerhard Schillinger with:
Gerhard Schillinger Germany
Emiko Nakataki Japan
Vikash Jaiswal United States
Weiyi Zhang China
Meredith E. Pugh United States
Fook‐Choe Cheah Malaysia
Anqiang Zhang China
Krishna Bajee Sriram Australia
Mark Thomas Australia
Stephen Yang relative to Gerhard Schillinger Germany Gerhard Schillinger's profile →
Citations per field
00.5×6.7×
Gerhard Schillinger · 1×
Citations per year

Countries citing papers authored by Stephen Yang

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 202413
4 20233
5 20228
6 20221
7 20227
8 20220
9 202117
10 20214
11 202111
12 202115
13 20212
14 202067
15 202012
16 202016
17 201040
18 2008116
19 200648
20 200211

About Stephen Yang

Stephen Yang is a scholar working on Internal Medicine, Critical Care and Intensive Care Medicine, Anesthesiology and Pain Medicine, Emergency Medicine and Cardiology and Cardiovascular Medicine, having authored 31 papers that have together received 743 indexed citations. Recurring topics across this work include Cardiac, Anesthesia and Surgical Outcomes (5 papers), Respiratory Support and Mechanisms (4 papers), COVID-19 Clinical Research Studies (3 papers), Venous Thromboembolism Diagnosis and Management (3 papers), Maternal and fetal healthcare (3 papers), Long-Term Effects of COVID-19 (3 papers), Pregnancy and preeclampsia studies (2 papers) and Anesthesia and Pain Management (2 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (58 citations), Nephrology (60 citations), Critical Care and Intensive Care Medicine (42 citations), Cancer Research (117 citations) and Molecular Biology (329 citations). Stephen Yang has collaborated with scholars based in Canada, United States and Finland. Frequent co-authors include Susan Harden, Henning Usadel, Cármen Jerónimo, James Engles, David Sidransky, Peter V. Danenberg, Jan Brabender, K. D. Danenberg, Nathalie Jouvet and Dindial Ramotar. Their work appears in journals such as Canadian Journal of Anesthesia/Journal canadien d anesthésie, CMAJ Open, British Journal of Anaesthesia, Journal of Pediatric Orthopaedics and ASAIO Journal.

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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