Caroline S. Jiang

70 papers receiving 2.9k citations

Caroline S. Jiang's Hit Papers

Brown adipose tissue is associated with cardiometabolic health 2021 · 462 citations
4620+1+3Years since publication100200300400

Peers

Caroline S. Jiang
Comparison fields: 5 of 120
  • Virology 256
  • Reproductive Medicine 374
  • Obstetrics and Gynecology 194
  • Physiology 561
  • Biological Psychiatry 46
Replace Jane F Armstrong with:
Jane F Armstrong United Kingdom
Michel Polak France
Anna Lisa Giuliani Italy
Anna Maria Di Blasio Italy
Davide Gentilini Italy
Sharon M. Anderson United States
Ad R. Hermus Netherlands
Lucia Lisi Italy
Gerard J. van Kamp Netherlands
Oluf Andersen Sweden
Caroline S. Jiang relative to Jane F Armstrong United Kingdom Jane F Armstrong's profile →
Citations per field
00.5×5.6×
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Citations per year

Countries citing papers authored by Caroline S. Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Caroline S. Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caroline S. Jiang. 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 Caroline S. Jiang. The network helps show where Caroline S. Jiang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Brown adipose tissue is associated with cardiometabolic health
Hit paper breakdown →
2021462
2 2003330
3 2006225
4 2010109
5 2008104
6 2011101
7 201192
8 200678
9 200775
10 202174
11 202273
12 202172
13 200765
14 200962
15 200856
16 201456
17 201251
18 200850
19 200545
20 200644

About Caroline S. Jiang

Caroline S. Jiang is a scholar working on Cellular and Molecular Neuroscience, Pediatrics, Perinatology and Child Health, Physiology, Molecular Biology and Virology, having authored 71 papers that have together received 2.9k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (7 papers), HIV Research and Treatment (7 papers), Hidradenitis Suppurativa and Treatments (5 papers), Endometrial and Cervical Cancer Treatments (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Colorectal and Anal Carcinomas (3 papers), Adipose Tissue and Metabolism (3 papers) and Neurobiology and Insect Physiology Research (3 papers). The work is most often cited by research in Virology (256 citations), Reproductive Medicine (374 citations), Obstetrics and Gynecology (194 citations), Physiology (561 citations) and Biological Psychiatry (46 citations). Caroline S. Jiang has collaborated with scholars based in United States, Norway and Germany. Frequent co-authors include Linda Chang, Roger Vaughan, Maurie Markman, David S. Alberts, Sharon P. Wilczynski, Helenna Nakama, Thomas Ernst, Thomas Ernst, Paul Cohen and Tobias Becher. Their work appears in journals such as Journal of Clinical Oncology, Gynecologic Oncology, International Journal of Gynecological Cancer, Drug and Alcohol Dependence and Blood.

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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