Jacques Raphael

1.6k citations
71 papers · 1.1k · h-index 15

Impact in

  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers
    • Lung Cancer Research Studies
  • Neurology top 5%
    • Peripheral Neuropathies and Disorders

Papers in

    • Lung Cancer Research Studies 10
    • Cancer Immunotherapy and Biomarkers 8
    • HER2/EGFR in Cancer Research 8
    • Lung Cancer Treatments and Mutations 13
    • Advanced Breast Cancer Therapies 6

Jacques Raphael

65 papers receiving 1.1k citations

Peers

Jacques Raphael
Comparison fields: 5 of 79
  • Oncology 425
  • Neurology 197
  • Cancer Research 129
  • Family Practice 13
  • Pulmonary and Respiratory Medicine 210
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Citations per field
00.5×6.5×
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Citations per year

Countries citing papers authored by Jacques Raphael

Since Specialization
Citations

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

Fields of papers citing papers by Jacques Raphael

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020283
2
Intravenous immunoglobulin for Guillain-Barre syndrome.[update in Cochrane Database Syst Rev. 2004;(1):CD002063; PMID: 14973982]
2001183
3 2019112
4 201546
5
[The Landry-Guillain-Barré syndrome. Study of prognostic factors in 223 cases].
198640
6 201730
7 202025
8 201923
9 201921
10 201619
11 201719
12 201819
13 202018
14 201515
15 201914
16 202214
17 202112
18 201712
19 202012
20 202412

About Jacques Raphael

Jacques Raphael is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Cancer Research, Genetics and Molecular Biology, having authored 71 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (13 papers), Lung Cancer Research Studies (10 papers), Cancer Immunotherapy and Biomarkers (8 papers), HER2/EGFR in Cancer Research (8 papers), Breast Cancer Treatment Studies (7 papers), Cancer Genomics and Diagnostics (6 papers), Advanced Breast Cancer Therapies (6 papers) and BRCA gene mutations in cancer (5 papers). The work is most often cited by research in Oncology (425 citations), Neurology (197 citations), Cancer Research (129 citations), Family Practice (13 citations) and Pulmonary and Respiratory Medicine (210 citations). Jacques Raphael has collaborated with scholars based in Canada, United Kingdom and France. Frequent co-authors include Rania Chehade, Phillip Blanchette, A V Swan, Richard AC Hughes, P.A. van Doorn, Ricardo Fernandes, Saman Maleki Vareki, S. M. Qasim Hussaini, Daniel Breadner and Ali Fatehi Hassanabad. Their work appears in journals such as Journal of Clinical Oncology, Breast Cancer Research and Treatment, Lung Cancer, The Breast and Cancer Research.

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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