Jasmanda Wu

955 citations
32 papers · 660 indexed · h-index 11

Impact in

Papers in

Jasmanda Wu

30 papers receiving 627 citations

Peers

Jasmanda Wu
Comparison fields: 5 of 105
  • Geriatrics and Gerontology 49
  • Endocrinology, Diabetes and Metabolism 166
  • Toxicology 34
  • Pharmacology 71
  • Psychiatry and Mental health 109
Replace G. L. Pearce with:
G. L. Pearce United Kingdom
Д. А. Сычев Russia
Chandrasekaran Adithan India
Hedi Schelleman United States
C Aguirre Spain
Ashish Kumar Kakkar India
Jens Bos Netherlands
Rose Cairns Australia
Giada Crescioli Italy
Douglas Barthold United States
Jasmanda Wu relative to G. L. Pearce United Kingdom G. L. Pearce's profile →
Citations per field
00.5×4.8×
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 2001224
2 200380
3 200367
4 200361
5 201230
6 201924
7 200723
8 201923
9 201520
10 201114
11 200911
12 200410
13 201710
14 20049
15 20147
16 20197
17 20236
18 20225
19 20205
20 20215

About Jasmanda Wu

Jasmanda Wu is a scholar working on Endocrinology, Diabetes and Metabolism, Geriatrics and Gerontology, Applied Microbiology and Biotechnology, Family Practice and Critical Care and Intensive Care Medicine, having authored 32 papers that have together received 660 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (9 papers), Diabetes Management and Research (8 papers), Cystic Fibrosis Research Advances (4 papers), Diabetes and associated disorders (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (3 papers), Mycobacterium research and diagnosis (3 papers) and Pharmaceutical Practices and Patient Outcomes (2 papers). The work is most often cited by research in Geriatrics and Gerontology (49 citations), Endocrinology, Diabetes and Metabolism (166 citations), Toxicology (34 citations), Pharmacology (71 citations) and Psychiatry and Mental health (109 citations). Jasmanda Wu has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Anna Thornton, Fun Man Fung, Ken Hornbuckle, Mary N. Haan, Debashis Ghosh, William H. Herman, Hector M. González, Jersey Liang, Jersey Liang and Héctor M. González. Their work appears in journals such as Diabetes Obesity and Metabolism, Value in Health, Diabetes, Clinical Therapeutics and Alzheimer s & Dementia.

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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