Sarah Chiang

5.0k citations
96 papers · 3.6k · h-index 33

Impact in

Papers in

Sarah Chiang

89 papers receiving 3.5k citations

Peers

Sarah Chiang
Comparison fields: 5 of 97
  • Obstetrics and Gynecology 1.8k
  • Reproductive Medicine 689
  • Pulmonary and Respiratory Medicine 1.5k
  • Cancer Research 328
  • Oncology 500
Replace Felix K. F. Kommoss with:
Felix K. F. Kommoss Germany
Basile Tessier‐Cloutier Canada
Sabrina Croce France
Karuna Garg United States
Yulia Lakhman United States
Jan J. Jobsen Netherlands
Farid Moinfar Austria
Kristýna Němejcová Czechia
Preetha Ramalingam United States
Christopher G. Przybycin United States
Sarah Chiang relative to Felix K. F. Kommoss Germany Felix K. F. Kommoss's profile →
Citations per field
00.5×2×3×4.4×
Felix K. F. Kommoss · 1×
Citations per year

Countries citing papers authored by Sarah Chiang

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Chiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012230
2 2018194
3 2019160
4 2022159
5 2012153
6 2017135
7 2017113
8 2011108
9 2016108
10 2018105
11 2016104
12 2017103
13 2019100
14 202089
15 202184
16 201970
17 201869
18 201262
19 201962
20 201361

About Sarah Chiang

Sarah Chiang is a scholar working on Obstetrics and Gynecology, Pulmonary and Respiratory Medicine, Reproductive Medicine, Cancer Research and Rheumatology, having authored 96 papers that have together received 3.6k indexed citations. Recurring topics across this work include Uterine Myomas and Treatments (44 papers), Sarcoma Diagnosis and Treatment (37 papers), Endometrial and Cervical Cancer Treatments (25 papers), Ovarian cancer diagnosis and treatment (16 papers), Cancer Genomics and Diagnostics (7 papers), Renal and related cancers (6 papers), Tuberous Sclerosis Complex Research (4 papers) and Endometriosis Research and Treatment (4 papers). The work is most often cited by research in Obstetrics and Gynecology (1.8k citations), Reproductive Medicine (689 citations), Pulmonary and Respiratory Medicine (1.5k citations), Cancer Research (328 citations) and Oncology (500 citations). Sarah Chiang has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Esther Oliva, Robert A. Soslow, Cheng‐Han Lee, Marc Ladanyi, Lien N. Hoang, Cristina R. Antonescu, Martee Leigh Hensley, Amir Momeni Boroujeni, Ryma Benayed and Rola H. Ali. Their work appears in journals such as Modern Pathology, The American Journal of Surgical Pathology, Gynecologic Oncology, Clinical Cancer Research and International Journal of Gynecological Cancer.

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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