L Mosca

1.0k citations
30 papers · 497 · h-index 13

Impact in

Papers in

L Mosca

27 papers receiving 486 citations

Peers

L Mosca
Comparison fields: 5 of 74
  • Obstetrics and Gynecology 180
  • Reproductive Medicine 139
  • Oncology 120
  • Epidemiology 138
  • Health Informatics 4
Replace Katherine Economos with:
Katherine Economos United States
Tuula Salmi Finland
I Richmond United Kingdom
J. Peter Forney United States
Shulan Lv China
Murat Dede Türkiye
Geoffrey Otton Australia
Wataru Kudaka Japan
L. Copeland United States
Kyung Bok Lee South Korea
L Mosca relative to Katherine Economos United States Katherine Economos's profile →
Citations per field
00.5×7.8×
Katherine Economos · 1×
Citations per year

Countries citing papers authored by L Mosca

Since Specialization
Citations

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

Fields of papers citing papers by L Mosca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201665
2 201750
3 201546
4 199037
5 201935
6 201831
7 201830
8 201824
9 202222
10 202220
11 201819
12 201719
13 201318
14
Hypophyseal pathology in AIDS.
199212
15
Neuroendocrine lung structures and tumours: immunohistochemical study by specific markers.
198811
16 202210
17 20188
18 20186
19
Neuroendocrine structures in normal and diseased human lung.
19866
20 19815

About L Mosca

L Mosca is a scholar working on Obstetrics and Gynecology, Reproductive Medicine, Surgery, Epidemiology and Neurology, having authored 30 papers that have together received 497 indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (10 papers), Endometriosis Research and Treatment (7 papers), Ovarian cancer diagnosis and treatment (5 papers), Neuroendocrine Tumor Research Advances (4 papers), Uterine Myomas and Treatments (4 papers), Intraperitoneal and Appendiceal Malignancies (3 papers), Cervical Cancer and HPV Research (3 papers) and Neuroblastoma Research and Treatments (3 papers). The work is most often cited by research in Obstetrics and Gynecology (180 citations), Reproductive Medicine (139 citations), Oncology (120 citations), Epidemiology (138 citations) and Health Informatics (4 citations). L Mosca has collaborated with scholars based in Italy, Ukraine and United States. Frequent co-authors include Domenica Lorusso, Fabio Martinelli, Giorgio Bogani, Francesco Raspagliesi, Antonino Ditto, Umberto Leone Roberti Maggiore, Luigi Cobellis, Valentina Chiappa, Ilaria Sabatucci and Nicola Colacurci. Their work appears in journals such as Gynecologic Oncology, Journal of Gynecologic Oncology, Acta Neurochirurgica, ESMO Open and Frontiers in 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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