Katherine Yang

31 papers receiving 1.3k citations

Hit Papers

Serotonin regulates pancreatic beta cell mass during pregnancy 2010 · 455 citations
4552010202620152020100200300400

Peers

Katherine Yang
Comparison fields: 5 of 116
  • Applied Microbiology and Biotechnology 58
  • Molecular Medicine 124
  • Endocrinology, Diabetes and Metabolism 243
  • Surgery 584
  • Genetics 367
Replace Asako Doi with:
Asako Doi Japan
Maitraya Patel United States
Sebastian Weis Germany
Shiva Gautam United States
Elsa Kermorvant‐Duchemin France
Hartwig Schütte Germany
Lê Thị Phương Thảo Australia
Victor Chen United States
Michiel F. Schreuder Netherlands
David M. Patrick United States
Katherine Yang relative to Asako Doi Japan Asako Doi's profile →
Citations per field
00.5×1.7×
Asako Doi · 1×
Citations per year

Countries citing papers authored by Katherine Yang

Since Specialization
Citations

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

Fields of papers citing papers by Katherine Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Serotonin regulates pancreatic beta cell mass during pregnancy
Hit paper breakdown →
2010455
2 2007194
3 200597
4 202064
5 201151
6 200850
7 201941
8 200741
9 200740
10 201834
11
Variation in outpatient antibiotic prescribing in the United States.
200934
12 200825
13 201124
14 201723
15 201722
16 201421
17 201521
18 201717
19 201713
20 201711

About Katherine Yang

Katherine Yang is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine, Geriatrics and Gerontology, Clinical Biochemistry and Critical Care and Intensive Care Medicine, having authored 31 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (7 papers), Pneumonia and Respiratory Infections (5 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers), Antibiotic Resistance in Bacteria (5 papers), Bacterial biofilms and quorum sensing (3 papers), Antibiotic Use and Resistance (3 papers), Bacterial Identification and Susceptibility Testing (3 papers) and Genetics and Neurodevelopmental Disorders (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (58 citations), Molecular Medicine (124 citations), Endocrinology, Diabetes and Metabolism (243 citations), Surgery (584 citations) and Genetics (367 citations). Katherine Yang has collaborated with scholars based in United States, China and Denmark. Frequent co-authors include Francis C. Lynn, Michael S. German, Maria E. Wilson, Juehu Wang, Yasuhiro Kosaka, Nada Nekrep, B. Joseph Guglielmo, Hiroki Mizukami, Hail Kim and Eric Chak. Their work appears in journals such as Diabetes, Annals of Pharmacotherapy, Molecular Cancer Therapeutics, Differentiation and Journal of surgical education.

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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