Joan Largent

2.1k citations
58 papers · 1.5k indexed · h-index 24

Impact in

Papers in

Joan Largent

53 papers receiving 1.5k citations

Peers

Joan Largent
Comparison fields: 5 of 114
  • Obstetrics and Gynecology 179
  • Cancer Research 316
  • Oncology 491
  • Reproductive Medicine 149
  • Public Health, Environmental and Occupational Health 252
Replace Kim N. Danforth with:
Kim N. Danforth United States
Adetunji T. Toriola United States
Ahmet Alacacıoğlu Türkiye
Jung Sub Lim South Korea
Anne Gulbech Ording Denmark
Lewis H. Kuller United States
Volker Ziller Germany
Bea C. Tanis Netherlands
Heidi L. Miracle-McMahill United States
Merethe Kumle Norway
Joan Largent relative to Kim N. Danforth United States Kim N. Danforth's profile →
Citations per field
00.5×1.7×
Kim N. Danforth · 1×
Citations per year

Countries citing papers authored by Joan Largent

Since Specialization
Citations

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

Fields of papers citing papers by Joan Largent

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20244
4 20240
5 20232
6 20233
7 202214
8 202113
9 202011
10 202017
11 20171
12 201226
13 201156
14 201018
15 201046
16 201020
17 200919
18 2006101
19 200460
20 200237

About Joan Largent

Joan Largent is a scholar working on Cancer Research, Health Informatics, Statistics and Probability, Oncology and Obstetrics and Gynecology, having authored 58 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer Risks and Factors (14 papers), Breast Cancer Treatment Studies (9 papers), Botulinum Toxin and Related Neurological Disorders (7 papers), Breast Implant and Reconstruction (7 papers), Estrogen and related hormone effects (6 papers), Advanced Causal Inference Techniques (6 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers) and Statistical Methods in Clinical Trials (5 papers). The work is most often cited by research in Obstetrics and Gynecology (179 citations), Cancer Research (316 citations), Oncology (491 citations), Reproductive Medicine (149 citations) and Public Health, Environmental and Occupational Health (252 citations). Joan Largent has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Hoda Anton‐Culver, Argyrios Ziogas, Leslie Bernstein, Michael G. Oefelein, Hilton M. Kaplan, Giske Ursin, Peggy Reynolds, James D. Namnoum, Mitchell H. Brown and Sarah F. Marshall. Their work appears in journals such as Cancer Causes & Control, PM&R, Breast Cancer Research, Drug Safety and Plastic & Reconstructive Surgery.

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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