S. Betty Yan

4.5k citations
56 papers · 3.1k indexed · h-index 27

S. Betty Yan

55 papers receiving 3.0k citations

Peers

S. Betty Yan
Comparison fields: 5 of 127
  • Critical Care and Intensive Care Medicine 533
  • Hematology 901
  • Internal Medicine 294
  • Epidemiology 1.6k
  • Emergency Medicine 210
Replace Hidesaku Asakura with:
Hidesaku Asakura Japan
Bengt Gårdlund Sweden
Jonathan Janes United States
David E. Joyce United States
Walter A. Wuillemin Switzerland
Marisa B. Marques United States
Cornelis H. Wortel Netherlands
Paula J. Santrach United States
G. Sirchia Italy
Maarten J. H. Slooff Netherlands
S. Betty Yan relative to Hidesaku Asakura Japan Hidesaku Asakura's profile →
Citations per field
00.5×1.5×
Hidesaku Asakura · 1×
Citations per year

Countries citing papers authored by S. Betty Yan

Since Specialization
Citations

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

Fields of papers citing papers by S. Betty Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Betty Yan. 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 S. Betty Yan. The network helps show where S. Betty Yan may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 201735
3 201733
4 201353
5 201029
6 201073
7 20091
8 20073
9 2007115
10 200441
11 2004302
12 200425
13 2003102
14 2001197
15 2001202
16 2000266
17 199414
18 1994196
19 199213
20 19915

About S. Betty Yan

S. Betty Yan is a scholar working on Hematology, Hepatology, Epidemiology, Biotechnology and Cancer Research, having authored 56 papers that have together received 3.1k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (21 papers), Blood Coagulation and Thrombosis Mechanisms (18 papers), Cancer Mechanisms and Therapy (9 papers), Vitamin K Research Studies (7 papers), Neonatal and Maternal Infections (6 papers), Liver physiology and pathology (4 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (4 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (533 citations), Hematology (901 citations), Internal Medicine (294 citations), Epidemiology (1.6k citations) and Emergency Medicine (210 citations). S. Betty Yan has collaborated with scholars based in United States, France and Belgium. Frequent co-authors include Charles J. Fisher, Brian W. Grinnell, Jean-François Dhainaut, Bruce R. Basson, Gordon R. Bernard, Róbert Hermann, Daniel Hartman, Theressa J. Wright, Gary T. Kinasewitz and Suzane L. Um. Their work appears in journals such as Critical Care Medicine, Cancer Research, Critical Care, Analytical Biochemistry and Investigational New Drugs.

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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