N. Paillocher

491 citations
17 papers · 328 indexed · h-index 8
Topics
Breast Cancer Treatment Studies (5 papers)Breast Lesions and Carcinomas (5 papers)Uterine Myomas and Treatments (3 papers)
Partner nations
France

In The Last Decade

N. Paillocher

17 papers receiving 322 citations

Peers

N. Paillocher
Comparison fields: 5 of 35
  • Cancer Research 204
  • Surgery 157
  • Pathology and Forensic Medicine 141
  • Oncology 70
  • Reproductive Medicine 52
Replace Sze Yiun Teo with:
Sze Yiun Teo Singapore
Antonio Pinna Italy
Emílio Francisco Marussi Brazil
Qingyong Xu China
Karlijn Woensdregt Netherlands
Stephen S. Falkenberry United States
B. Lefébure France
B D Toombs
Ali Kasraeian United States
Camille Jauffret France
N. Paillocher relative to Sze Yiun Teo Singapore Sze Yiun Teo's profile →
Citations per field
00.5×
Sze Yiun Teo · 1×
Citations per year

Countries citing papers authored by N. Paillocher

Since Specialization
Citations

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

Fields of papers citing papers by N. Paillocher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. Paillocher

This figure shows the co-authorship network connecting the top 25 collaborators of N. Paillocher. A scholar is included among the top collaborators of N. Paillocher based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with N. Paillocher. N. Paillocher is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 7
2 162
3 5
4 15
5 38
6 30
7 5
8 1
9 7
10
Low-grade endometrial stromal sarcoma of the uterus: review of 10 cases.
15
11
urogynecology - MR imaging features of deep pelvic endometriosis: correlation with laparoscopy
1
12 5
13 13
14 5
15 10
16 3
17 6

About N. Paillocher

N. Paillocher is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Pathology and Forensic Medicine, having authored 17 papers that have together received 328 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (5 papers), Breast Lesions and Carcinomas (5 papers) and Uterine Myomas and Treatments (3 papers). The work is most often cited by research in Cancer Research (204 citations), Pathology and Forensic Medicine (141 citations) and Reproductive Medicine (52 citations). N. Paillocher has collaborated with scholars based in France. Frequent co-authors include G. Lorimier, Romuald Wernert, Roman Rouzier, Marian Gutowski, Clément Palpacuer, C. Faure, Gilles Houvenaeghel, Gwénaël Ferron, Emmanuel Barranger and S. Alran. Their work appears in journals such as Cancer Research, Breast Cancer Research and Treatment and European Journal of Surgical Oncology.

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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