Jasmanda Wu

967 citations
32 papers · 668 · h-index 11

Impact in

Papers in

Jasmanda Wu

30 papers receiving 635 citations

Peers

Jasmanda Wu
Comparison fields: 5 of 98
  • Toxicology 29
  • Endocrinology, Diabetes and Metabolism 129
  • Pharmacology 64
  • Geriatrics and Gerontology 23
  • Psychiatry and Mental health 88
Replace G. L. Pearce with:
G. L. Pearce United Kingdom
Sang-Goo Shin South Korea
Chandrasekaran Adithan India
C Aguirre Spain
Myeong Gyu Kim South Korea
Gina Mejía‐Abril Spain
Manoranjenni Chetty United Kingdom
Emmanuelle Bondon‐Guitton France
Dolores Ochoa Spain
Miriam Saiz‐Rodríguez Spain
Jasmanda Wu relative to G. L. Pearce United Kingdom G. L. Pearce's profile →
Citations per field
00.5×
G. L. Pearce · 1×
Citations per year

Countries citing papers authored by Jasmanda Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jasmanda Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001227
2 200380
3 200366
4 200361
5 201230
6 201925
7 201923
8 200723
9 201520
10 201117
11 200911
12 201710
13 200410
14 20049
15 20197
16 20227
17 20147
18 20236
19 20215
20 20205

About Jasmanda Wu

Jasmanda Wu is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Genetics, Pulmonary and Respiratory Medicine and Economics and Econometrics, having authored 32 papers that have together received 668 indexed citations. Recurring topics across this work include Diabetes Management and Research (7 papers), Diabetes Treatment and Management (3 papers), Mycobacterium research and diagnosis (3 papers), Cystic Fibrosis Research Advances (3 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (1 paper) and Pharmaceutical industry and healthcare (1 paper). The work is most often cited by research in Toxicology (29 citations), Endocrinology, Diabetes and Metabolism (129 citations), Pharmacology (64 citations), Geriatrics and Gerontology (23 citations) and Psychiatry and Mental health (88 citations). Jasmanda Wu has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Anna Thornton, Ken Hornbuckle, William H. Herman, Debashis Ghosh, Mary N. Haan, Hector M. González, Jersey Liang, Héctor M. González, Jersey Liang and Jukka Westerbacka. Their work appears in journals such as Diabetes Obesity and Metabolism, Value in Health, Diabetes, Clinical Therapeutics and American Journal of Health-System Pharmacy.

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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