M. Lapresa

592 citations
13 papers · 419 · h-index 9

Impact in

Papers in

M. Lapresa

13 papers receiving 399 citations

Peers

M. Lapresa
Comparison fields: 5 of 43
  • Reproductive Medicine 233
  • Obstetrics and Gynecology 127
  • Oncology 86
  • Cancer Research 28
  • Pathology and Forensic Medicine 28
Replace Jennifer McLachlan with:
Jennifer McLachlan United Kingdom
Lindsey B. Beffa United States
Julie Irving Canada
Eunice H. Rhee United States
M.Steven Piver United States
Shadi Stevens United States
Ingo von Leffern Germany
Koji Nishino Japan
Kathryn Shum Canada
Ivana Stružinská Czechia
M. Lapresa relative to Jennifer McLachlan United Kingdom Jennifer McLachlan's profile →
Citations per field
00.5×2×2.6×
Jennifer McLachlan · 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

13 of 13 papers shown
#Work
1 2010155
2 201976
3 200451
4 200537
5 200235
6 201719
7 201812
8 202212
9 202011
10
Malignant mixed mullerian tumor of the ovary: report of four cases.
20015
11 20183
12 20192
13 20241

About M. Lapresa

M. Lapresa is a scholar working on Reproductive Medicine, Obstetrics and Gynecology, Oncology, Public Health, Environmental and Occupational Health and Pulmonary and Respiratory Medicine, having authored 13 papers that have together received 419 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (9 papers), PARP inhibition in cancer therapy (3 papers), Endometrial and Cervical Cancer Treatments (3 papers), Reproductive Biology and Fertility (2 papers), BRCA gene mutations in cancer (1 paper), Immune Cell Function and Interaction (1 paper), Acute Myeloid Leukemia Research (1 paper) and Sarcoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Reproductive Medicine (233 citations), Obstetrics and Gynecology (127 citations), Oncology (86 citations), Cancer Research (28 citations) and Pathology and Forensic Medicine (28 citations). M. Lapresa has collaborated with scholars based in Italy, Japan and Australia. Frequent co-authors include Nicoletta Colombo, Gabriella Parma, Michele Peiretti, Mirko Domenico Castiglione, Silvestro Giuliano Carinelli, Rosanna Mancari, Christiana Sessa, Angelo Maggioni, Angiolo Gadducci and Fabio Landoni. Their work appears in journals such as Annals of Oncology, International Journal of Cancer, Anticancer Research, Gynecologic Oncology and International Journal of Gynecological 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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