Eseng Lai

2.6k citations
60 papers · 1.8k · h-index 20

Impact in

Papers in

Eseng Lai

59 papers receiving 1.7k citations

Peers

Eseng Lai
Comparison fields: 5 of 103
  • Endocrinology, Diabetes and Metabolism 620
  • Genetics 189
  • Neurology 268
  • Developmental Neuroscience 69
  • Pharmacology 260
Replace Tiziana Bachetti with:
Tiziana Bachetti Italy
Thu H. Le United States
Walkyria Oliveira Sampaio Brazil
Tomohiro Osanai Japan
Keiichiro Kataoka Japan
Tokihito Yukimura Japan
Xin L. United States
L Fialová Czechia
Giulio Ceolotto Italy
Robert B. MacArthur United States
Eseng Lai relative to Tiziana Bachetti Italy Tiziana Bachetti's profile →
Citations per field
00.5×2.9×
Tiziana Bachetti · 1×
Citations per year

Countries citing papers authored by Eseng Lai

Since Specialization
Citations

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

Fields of papers citing papers by Eseng Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997288
2 2006222
3 2011132
4 2007128
5 2020111
6 2007110
7 201779
8 200947
9 202047
10 200741
11 200841
12 201138
13 199638
14 199735
15 199834
16 200729
17 200724
18 201724
19 200823
20 201723

About Eseng Lai

Eseng Lai is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Surgery, having authored 60 papers that have together received 1.8k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (12 papers), Pharmacogenetics and Drug Metabolism (7 papers), Antiplatelet Therapy and Cardiovascular Diseases (6 papers), Metabolism, Diabetes, and Cancer (6 papers), Heart Failure Treatment and Management (5 papers), Pharmacology and Obesity Treatment (5 papers), Diabetes Management and Research (4 papers) and Asthma and respiratory diseases (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (620 citations), Genetics (189 citations), Neurology (268 citations), Developmental Neuroscience (69 citations) and Pharmacology (260 citations). Eseng Lai has collaborated with scholars based in United States, Belgium and Canada. Frequent co-authors include Gary P. O’Neill, Keith D. Kaufman, Howard M. Natter, Marek Gawel, Barry W. Festoff, Stacy A. Rudnicki, R Kratz, Kevin J. Felice, Mike Murphy and F. H. Norris. Their work appears in journals such as The Journal of Clinical Pharmacology, American Journal of Therapeutics, Neurology, Current Medical Research and Opinion and Diabetes Obesity and Metabolism.

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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