M. Lapresa

578 citations
16 papers · 420 indexed · h-index 10

Impact in

Papers in

M. Lapresa

15 papers receiving 407 citations

Peers

M. Lapresa
Comparison fields: 5 of 48
  • Reproductive Medicine 294
  • Obstetrics and Gynecology 199
  • Oncology 113
  • Cancer Research 44
  • Pathology and Forensic Medicine 45
Replace Audrey P. Garrett with:
Audrey P. Garrett United States
Britta Nordström Sweden
Michelle Vaughan New Zealand
M. K. Cheung United States
Maria M. Rubinstein United States
Jennifer McLachlan United Kingdom
K. Wollschlaeger Germany
Mojca Persic United Kingdom
Eunice H. Rhee United States
Heng Cui China
M. Lapresa relative to Audrey P. Garrett United States Audrey P. Garrett's profile →
Citations per field
00.5×
Audrey P. Garrett · 1×
Citations per year

Countries citing papers authored by M. Lapresa

Since Specialization
Citations

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

Fields of papers citing papers by M. Lapresa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 20240
2 202211
3 20225
4 20209
5 201967
6 20192
7 201812
8 20183
9 201716
10 201534
11 2010146
12 20101
13 200533
14 200447
15 200229
16
Malignant mixed mullerian tumor of the ovary: report of four cases.
20015

About M. Lapresa

M. Lapresa is a scholar working on Reproductive Medicine, Obstetrics and Gynecology, Oncology, Genetics and Animal Science and Zoology, having authored 16 papers that have together received 420 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (13 papers), Endometrial and Cervical Cancer Treatments (6 papers), PARP inhibition in cancer therapy (4 papers), BRCA gene mutations in cancer (3 papers), Endometriosis Research and Treatment (2 papers), Angiogenesis and VEGF in Cancer (2 papers), Reproductive Biology and Fertility (2 papers) and Cancer Immunotherapy and Biomarkers (1 paper). The work is most often cited by research in Reproductive Medicine (294 citations), Obstetrics and Gynecology (199 citations), Oncology (113 citations), Cancer Research (44 citations) and Pathology and Forensic Medicine (45 citations). M. Lapresa has collaborated with scholars based in Italy, Japan and Spain. Frequent co-authors include Nicoletta Colombo, Gabriella Parma, Rosanna Mancari, Michele Peiretti, M. Castiglione, Silvestro Carinelli, C. Sessa, Angelo Maggioni, Angiolo Gadducci and Sandro Pignata. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, Anticancer Research, Gynecologic Oncology and International Journal of 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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