Danny Soon

672 citations
24 papers · 444 · h-index 12

Impact in

Papers in

Danny Soon

22 papers receiving 426 citations

Peers

Danny Soon
Comparison fields: 5 of 70
  • Endocrinology, Diabetes and Metabolism 223
  • Pharmacology 27
  • Psychiatry and Mental health 38
  • Biological Psychiatry 6
  • Surgery 88
Replace Melvin Munsaka with:
Melvin Munsaka United States
Roland Sakiyama United States
J Leclerc France
Michael Derks Switzerland
Frederick H. Ziel United States
Cynthia J. Harris United States
Maggie Lim United States
Nina Gårevik Sweden
Mireille Boutry United States
Yasunori Osono Japan
Danny Soon relative to Melvin Munsaka United States Melvin Munsaka's profile →
Citations per field
00.5×3.2×
Melvin Munsaka · 1×
Citations per year

Countries citing papers authored by Danny Soon

Since Specialization
Citations

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

Fields of papers citing papers by Danny Soon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201575
2 200556
3 200650
4 201550
5 200934
6 197533
7 201322
8 200521
9 200514
10 201713
11 201412
12 200511
13 201710
14 20049
15 20078
16 20087
17 20235
18 20145
19 20144
20 20022

About Danny Soon

Danny Soon is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Psychiatry and Mental health, Pharmacology and Pharmacology, having authored 24 papers that have together received 444 indexed citations. Recurring topics across this work include Diabetes Management and Research (5 papers), Diabetes Treatment and Management (5 papers), Hepatitis B Virus Studies (4 papers), Pharmacogenetics and Drug Metabolism (3 papers), Liver Disease Diagnosis and Treatment (2 papers), Treatment of Major Depression (2 papers), Hepatitis C virus research (2 papers) and Schizophrenia research and treatment (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (223 citations), Pharmacology (27 citations), Psychiatry and Mental health (38 citations), Biological Psychiatry (6 citations) and Surgery (88 citations). Danny Soon has collaborated with scholars based in Singapore, United States and United Kingdom. Frequent co-authors include Helle Linnebjerg, Stephen D. Wise, Mary Seger, Lawrence Kayton, Kenneth Mace, Prajakti A. Kothare, Eunice Yuen, Soomin Park, David E. Coutant and Laiyi Chua. Their work appears in journals such as Diabetes Research and Clinical Practice, Clinical Pharmacology & Therapeutics, Journal of Hepatology, The Journal of Clinical Pharmacology and British Journal of Clinical Pharmacology.

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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