Yu Bai

55 papers receiving 2.4k citations

Yu Bai's Hit Papers

The Prospective, Observational, Multicenter, Major Trauma Transfusion (PROMMTT) Study 2012 · 873 citations
8730+4+9Years since publication250500750

Peers

Yu Bai
Comparison fields: 5 of 84
  • Critical Care and Intensive Care Medicine 1.3k
  • Biochemistry 747
  • Emergency Medicine 194
  • Hematology 107
  • Oncology 153
Replace James R. Stubbs with:
James R. Stubbs United States
Alyssa F. Ziman United States
Glenn Eugene Ramsey United States
Noel A. Buskard Canada
Victor Michael Aquino United States
Jay E. Menitove United States
Meera Chitlur United States
Alex Novak United Kingdom
Goda Choi Netherlands
Derwood H. Pamphilon United Kingdom
Yu Bai relative to James R. Stubbs United States James R. Stubbs's profile →
Citations per field
00.5×2×4×6.7×
James R. Stubbs · 1×
Citations per year

Countries citing papers authored by Yu Bai

Since Specialization
Citations

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

Fields of papers citing papers by Yu Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Prospective, Observational, Multicenter, Major Trauma Transfusion (PROMMTT) Study
Hit paper breakdown →
2012873
2 2013224
3 2014171
4 2019155
5 201697
6 201390
7 202167
8 201566
9 202058
10 201856
11 202354
12 202348
13 201141
14 201840
15 201734
16 201729
17 201828
18 202427
19 202223
20 201422

About Yu Bai

Yu Bai is a scholar working on Critical Care and Intensive Care Medicine, Biochemistry, Hematology, Oncology and Physiology, having authored 57 papers that have together received 2.4k indexed citations. Recurring topics across this work include Blood transfusion and management (13 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (13 papers), Colorectal Cancer Screening and Detection (6 papers), Blood groups and transfusion (5 papers), Adenosine and Purinergic Signaling (3 papers), Innovations in Medical Education (2 papers), Trauma and Emergency Care Studies (2 papers) and Airway Management and Intubation Techniques (2 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (1.3k citations), Biochemistry (747 citations), Emergency Medicine (194 citations), Hematology (107 citations) and Oncology (153 citations). Yu Bai has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Bryan A. Cotton, John Bradley Holcomb, Charles E. Wade, Deborah J. del Junco, Nena Matijevic, Erin E. Fox, Louis H. Alarcon, Martin A. Schreiber, Christopher E. White and Herb A. Phelan. Their work appears in journals such as Journal of Clinical Apheresis, Transfusion, American Journal of Clinical Pathology, Annals of Surgery and Anesthesia & Analgesia.

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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