Eva Tseng

1.7k total citations · 1 hit paper
35 papers, 1.3k citations indexed

About

Eva Tseng is a scholar working on Endocrinology, Diabetes and Metabolism, Public Health, Environmental and Occupational Health and Pharmacy. According to data from OpenAlex, Eva Tseng has authored 35 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Endocrinology, Diabetes and Metabolism, 10 papers in Public Health, Environmental and Occupational Health and 10 papers in Pharmacy. Recurrent topics in Eva Tseng's work include Obesity and Health Practices (10 papers), Diabetes Management and Education (9 papers) and Obesity, Physical Activity, Diet (6 papers). Eva Tseng is often cited by papers focused on Obesity and Health Practices (10 papers), Diabetes Management and Education (9 papers) and Obesity, Physical Activity, Diet (6 papers). Eva Tseng collaborates with scholars based in United States, Taiwan and Australia. Eva Tseng's co-authors include Nisa M. Maruthur, Jodi B Segal, Shari Bolen, Catalina Suarez‐Cuervo, Emmanuel Iyoha, Susan Hutfless, Zackary Berger, Yue Chu, Lisa M Wilson and Hsin‐Chieh Yeh and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Annals of Internal Medicine.

In The Last Decade

Eva Tseng

33 papers receiving 1.2k citations

Hit Papers

Diabetes Medications as Monotherapy or Metformin-Based Co... 2016 2026 2019 2022 2016 100 200 300 400

Peers

Eva Tseng
Comparison fields: 5 of 124
  • Endocrinology, Diabetes and Metabolism 567
  • Molecular Biology 395
  • Surgery 164
  • Physiology 158
  • Epidemiology 139
Replace Chih-Cheng Hsu with:
Chih-Cheng Hsu Taiwan
Dong Zhao China
Danyao Jin United Kingdom
Dudan Zhang China
Bernard Man Yung Cheung Hong Kong
Sang‐Hyun Ihm South Korea
Serge Halimi France
Melanie M. van der Klauw Netherlands
Marc Ferrini France
Chonghua Yao China
Chih-Cheng Hsu Taiwan View profile →
Citations per field, relative to Eva Tseng
Eva Tseng · 1×
Citations per year, relative to Eva Tseng
Eva Tseng · 1×

Countries citing papers authored by Eva Tseng

Since Specialization
Citations

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

Fields of papers citing papers by Eva Tseng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Tseng

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Tseng. A scholar is included among the top collaborators of Eva Tseng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eva Tseng. Eva Tseng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 0
4 4
5 3
6 3
7 10
8 8
9 42
10 8
11 5
12 39
13 27
14
Diabetes Medications as Monotherapy or Metformin-Based Combination Therapy for Type 2 Diabetes
12
15 7
16 51
17 4
18 16
19 111
20 2

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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