Stella Tran

2.2k citations
23 papers · 1.2k · 1 hit paper · h-index 17

Impact in

Papers in

Stella Tran

23 papers receiving 1.2k citations

Stella Tran's Hit Papers

Recapitulating endocrine cell clustering in culture promotes maturation of human stem-cell-derived β cells 2019 · 346 citations
3460+2+4Years since publication100200300

Peers

Stella Tran
Comparison fields: 5 of 83
  • Endocrinology, Diabetes and Metabolism 288
  • Obstetrics and Gynecology 115
  • Nephrology 79
  • Genetics 302
  • Surgery 420
Replace Dong Won Byun with:
Dong Won Byun South Korea
Danielle J. Borg Australia
Claudia Bănescu Romania
Stephan Scharla Germany
Satoru Akazawa Japan
Mariko Hida Japan
Huey-Yi Chen Taiwan
Carlos Encinas Dominguez United States
Om Prakash Dwivedi India
Yin-ling Chen China
Stella Tran relative to Dong Won Byun South Korea Dong Won Byun's profile →
Citations per field
00.5×3.8×
Dong Won Byun · 1×
Citations per year

Countries citing papers authored by Stella Tran

Since Specialization
Citations

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

Fields of papers citing papers by Stella Tran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Recapitulating endocrine cell clustering in culture promotes maturation of human stem-cell-derived β cells
Hit paper breakdown →
2019346
2 2007138
3 201997
4 200879
5 200973
6 201358
7 201157
8 201155
9 201054
10 201039
11 201534
12 201333
13 201230
14 201026
15 200724
16 201920
17 202118
18 200615
19 200713
20 201313

About Stella Tran

Stella Tran is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology, Surgery and Nephrology, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include Birth, Development, and Health (7 papers), Renal and related cancers (5 papers), FOXO transcription factor regulation (4 papers), Pregnancy and preeclampsia studies (4 papers), Kruppel-like factors research (4 papers), TGF-β signaling in diseases (4 papers), Chronic Kidney Disease and Diabetes (3 papers) and Genomics and Chromatin Dynamics (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (288 citations), Obstetrics and Gynecology (115 citations), Nephrology (79 citations), Genetics (302 citations) and Surgery (420 citations). Stella Tran has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Daniel J. Bernard, Shaoling Zhang, Isabelle Chénier, Julie R. Ingelfinger, Pankaj Lamba, Yun‐Wen Chen, Shiao‐Ying Chang, Simone Giacometti, Anil Bhushan and Matthias Hebrok. Their work appears in journals such as Molecular Endocrinology, Pediatric Nephrology, Journal of the American Society of Nephrology, Kidney International and Experimental Diabetes Research.

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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