Patricia Guyot

36 papers receiving 2.5k citations

Patricia Guyot's Hit Papers

Enhanced secondary analysis of survival data: reconstructing the data from published Kaplan-Meier survival curves 2012 · 1.9k citations
1.9k0+4+9Years since publication50010001.5k

Peers

Patricia Guyot
Comparison fields: 5 of 117
  • Otorhinolaryngology 104
  • Statistics and Probability 157
  • Oncology 430
  • Pulmonary and Respiratory Medicine 422
  • Hepatology 97
Replace P. Kyzas with:
P. Kyzas United Kingdom
Yolanda Barbáchano United Kingdom
Jean Pierre Daurès France
Yi‐Ching Hsieh United States
E. Neely Atkinson United States
Changhong Yu United States
James B. Gerstner United States
Bernard Gardner United States
Fay Helen Cafferty United Kingdom
Marlo Whitehead Canada
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Citations per field
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Citations per year

Countries citing papers authored by Patricia Guyot

Since Specialization
Citations

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

Fields of papers citing papers by Patricia Guyot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Enhanced secondary analysis of survival data: reconstructing the data from published Kaplan-Meier survival curves
Hit paper breakdown →
20121887
2 2015140
3 202184
4 202066
5 201654
6 201141
7 201129
8 202126
9 202024
10 202420
11 201219
12 202019
13 202018
14 202012
15 201911
16 201710
17 20237
18 20236
19 20145
20 20215

About Patricia Guyot

Patricia Guyot is a scholar working on Endocrinology, Diabetes and Metabolism, Hematology, Immunology, Dermatology and Physiology, having authored 39 papers that have together received 2.5k indexed citations. Recurring topics across this work include IL-33, ST2, and ILC Pathways (4 papers), Asthma and respiratory diseases (4 papers), Rheumatoid Arthritis Research and Therapies (3 papers), Dermatology and Skin Diseases (3 papers), Diabetes Treatment and Management (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Botulinum Toxin and Related Neurological Disorders (2 papers) and Sinusitis and nasal conditions (2 papers). The work is most often cited by research in Otorhinolaryngology (104 citations), Statistics and Probability (157 citations), Oncology (430 citations), Pulmonary and Respiratory Medicine (422 citations) and Hepatology (97 citations). Patricia Guyot has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Nicky J. Welton, A. E. Ades, Richard M. Nixon, Shaloo Pandhi, Andreas Karabis, R Andrew Moore, Yingxin Xu, Jérôme Msihid, Siddhesh Kamat and Jean‐Pierre Pignon. Their work appears in journals such as Value in Health, Diabetes Obesity and Metabolism, Advances in Therapy, The Journal of Allergy and Clinical Immunology In Practice and Arthritis Research & Therapy.

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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