S. Lasry

838 citations
22 papers · 683 · h-index 11

Impact in

Papers in

S. Lasry

21 papers receiving 649 citations

Peers

S. Lasry
Comparison fields: 5 of 25
  • Cancer Research 271
  • Obstetrics and Gynecology 154
  • Oncology 52
  • Pathology and Forensic Medicine 40
  • Radiation 5
Replace Luciano Galletto with:
Luciano Galletto Italy
Solange Moraes Sanches Brazil
Fumitoshi Terauchi Japan
Maria-Eulalia Fernández-Montolí Spain
Leslie E. Oldfield Canada
M David Israel
Boer Shan China
Seden Küçücük Türkiye
Nicole Nicosia Esposito United States
Maria Elena Jacomuzzi Italy
S. Lasry relative to Luciano Galletto Italy Luciano Galletto's profile →
Citations per field
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Luciano Galletto · 1×
Citations per year

Countries citing papers authored by S. Lasry

Since Specialization
Citations

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

Fields of papers citing papers by S. Lasry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006153
2 2006130
3 199889
4 199953
5 199251
6 199633
7 199132
8 199029
9 201029
10 201628
11 201119
12 201211
13 20047
14 19936
15
[Local recurrence after conservative therapy of breast cancer: risk factors, site of recurrence, evolution].
19943
16 19952
17 19952
18 19962
19
[Breast cancer: prognostic value of a dissemination index based on 4 components of the urokinase-type plasminogen activator system].
20002
20
[Ovarian seminoma and pregnancy. Apropos of a new case].
19891

About S. Lasry

S. Lasry is a scholar working on Cancer Research, Obstetrics and Gynecology, Reproductive Medicine, Oncology and Public Health, Environmental and Occupational Health, having authored 22 papers that have together received 683 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (11 papers), Endometrial and Cervical Cancer Treatments (3 papers), Protease and Inhibitor Mechanisms (2 papers), Ovarian cancer diagnosis and treatment (1 paper), Cutaneous Melanoma Detection and Management (1 paper), Male Breast Health Studies (1 paper) and Multiple and Secondary Primary Cancers (1 paper). The work is most often cited by research in Cancer Research (271 citations), Obstetrics and Gynecology (154 citations), Oncology (52 citations), Pathology and Forensic Medicine (40 citations) and Radiation (5 citations). S. Lasry has collaborated with scholars based in France, Canada and China. Frequent co-authors include Michele Tubiana-Hulin, Jacques Rouëssé, Denise E. Stevens, Frédérique Spyratos, Jean‐Marc Classe, Philippe Morice, Eberhardt Stoeckle, Philippe Rauch, Christine Cohen-Solal and Gilles F. Houvenaeghel. Their work appears in journals such as European Journal of Cancer, Annals of Oncology, The Lancet, Journal of Clinical Oncology and Gynecologic 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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