Robert D. Legare

4.2k citations
35 papers · 827 · h-index 14

Impact in

  • Oncology top 10%
    • HER2/EGFR in Cancer Research
    • PARP inhibition in cancer therapy
    • Cancer Risks and Factors
    • Cancer Treatment and Pharmacology
    • Breast Cancer Treatment Studies
    • Cancer Genomics and Diagnostics

Papers in

    • Cancer Treatment and Pharmacology 8
    • HER2/EGFR in Cancer Research 5
    • Breast Cancer Treatment Studies 7

Robert D. Legare

33 papers receiving 805 citations

Peers

Robert D. Legare
Comparison fields: 5 of 69
  • Oncology 344
  • Cancer Research 165
  • Genetics 193
  • Reproductive Medicine 55
  • Hematology 68
Replace Isabel Chirivella with:
Isabel Chirivella Spain
Albiruni Ryan Abdul Razak Canada
Charlotte Vaysse France
Dearbhaile Catherine Collins Ireland
Eleni Timotheadou Greece
Montserrat Domènech Spain
M.L. Rothenberg United States
Alessandra Ravaioli Italy
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Citations per field
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Citations per year

Countries citing papers authored by Robert D. Legare

Since Specialization
Citations

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

Fields of papers citing papers by Robert D. Legare

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert D. Legare. 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 Robert D. Legare. The network helps show where Robert D. Legare may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201594
2 202089
3 201587
4 200985
5 201069
6 200962
7 200656
8 200536
9 199834
10 200931
11 201019
12 200219
13 200417
14 199715
15 199512
16 200012
17 200810
18 199810
19 20159
20 20199

About Robert D. Legare

Robert D. Legare is a scholar working on Oncology, Cancer Research, Genetics, Hematology and Reproductive Medicine, having authored 35 papers that have together received 827 indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (8 papers), Breast Cancer Treatment Studies (7 papers), BRCA gene mutations in cancer (6 papers), HER2/EGFR in Cancer Research (5 papers), Acute Myeloid Leukemia Research (4 papers), Ovarian cancer diagnosis and treatment (4 papers), Lymphoma Diagnosis and Treatment (3 papers) and Drug-Induced Adverse Reactions (3 papers). The work is most often cited by research in Oncology (344 citations), Cancer Research (165 citations), Genetics (193 citations), Reproductive Medicine (55 citations) and Hematology (68 citations). Robert D. Legare has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Don S. Dizon, Ashley Stuckey, Tina Rizack, C.O. Granai, Jorge J. Castillo, Anthony Mega, Rochelle Strenger, William M. Sikov, Katina Robison and Mary Anne Fenton. Their work appears in journals such as Journal of Clinical Oncology, Gynecologic Oncology, Blood, Cancer Research and Obstetrics and Gynecology Clinics of North America.

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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