Caitlin E. Carr

624 citations
23 papers · 459 · h-index 10

Impact in

Papers in

Caitlin E. Carr

22 papers receiving 443 citations

Peers

Caitlin E. Carr
Comparison fields: 5 of 36
  • Obstetrics and Gynecology 119
  • Oncology 122
  • Endocrinology, Diabetes and Metabolism 71
  • Immunology 67
  • Hepatology 29
Replace Donghong Lu with:
Donghong Lu China
Jianyou Tan United States
R Hale United Kingdom
Minodora Onisâi Romania
Maria Ossolińska Poland
L. Zhang China
Kanchan M. Murhekar India
Suketami Tominaga Japan
Kunihiro Sakai Japan
Sang‐Young Ryu South Korea
Caitlin E. Carr relative to Donghong Lu China Donghong Lu's profile →
Citations per field
00.5×5×10×15×20×23.7×
Donghong Lu · 1×
Citations per year

Countries citing papers authored by Caitlin E. Carr

Since Specialization
Citations

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

Fields of papers citing papers by Caitlin E. Carr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caitlin E. Carr. 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 Caitlin E. Carr. The network helps show where Caitlin E. Carr may publish in the future.

Co-authors

The 25 scholars most cited alongside Caitlin E. Carr, 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 Caitlin E. Carr Line = papers co-authored together Caitlin E. Carr 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 2020162
2 200467
3 202053
4 201732
5 200630
6 201925
7 202016
8 202015
9 202110
10 202310
11 20209
12 20208
13 20207
14 20204
15 20233
16 20212
17 20181
18 20211
19 20211
20 20211

About Caitlin E. Carr

Caitlin E. Carr is a scholar working on Obstetrics and Gynecology, Oncology, Reproductive Medicine, General Health Professions and Infectious Diseases, having authored 23 papers that have together received 459 indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (9 papers), COVID-19 and healthcare impacts (3 papers), COVID-19 Clinical Research Studies (2 papers), Minimally Invasive Surgical Techniques (2 papers), Ovarian cancer diagnosis and treatment (2 papers), COVID-19 and Mental Health (2 papers), Healthcare professionals’ stress and burnout (2 papers) and Cancer Immunotherapy and Biomarkers (1 paper). The work is most often cited by research in Obstetrics and Gynecology (119 citations), Oncology (122 citations), Endocrinology, Diabetes and Metabolism (71 citations), Immunology (67 citations) and Hepatology (29 citations). Caitlin E. Carr has collaborated with scholars based in United States. Frequent co-authors include Chad M. Michener, Stephanie V. Blank, Scott O. Trerotola, Benjamin D. Greenbaum, Robert M. Samstein, Nina Bhardwaj, Kuan-lin Huang, Timothy J. O’Donnell, Vladimir Roudko and Theofano Orfanelli. Their work appears in journals such as Gynecologic Oncology, International Journal of Gynecological Cancer, Journal of Vascular and Interventional Radiology, American Journal of Obstetrics and Gynecology and 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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