David Laplaud

12.4k citations
117 papers · 4.1k indexed · h-index 37

David Laplaud

111 papers receiving 4.1k citations

Peers

David Laplaud
Comparison fields: 5 of 136
  • Transplantation 296
  • Pathology and Forensic Medicine 2.0k
  • Neurology 986
  • Immunology 1.3k
  • Neurology 369
Replace Eliécer Coto with:
Eliécer Coto Spain
Suzanne Hodgkinson Australia
Victoria Álvarez Spain
Giovanna Borsellino Italy
Oluf Andersen Sweden
Zsolt Illés Hungary
Niall Tubridy Ireland
Bibiana Bielekova United States
Lisa F. Barcellos United States
Stephen Sawcer United Kingdom
David Laplaud relative to Eliécer Coto Spain Eliécer Coto's profile →
Citations per field
00.5×4.3×
Eliécer Coto · 1×
Citations per year

Countries citing papers authored by David Laplaud

Since Specialization
Citations

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

Fields of papers citing papers by David Laplaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20243
3 202333
4 202215
5 20221
6 20225
7 20229
8 20222
9
Clinical characteristics and outcomes in patients with coronavirus disease 2019 and multiple sclerosis
202084
10 202051
11 201935
12 20161
13 201415
14 201019
15 2010406
16 20104
17 2008104
18 200889
19 200840
20 200646

About David Laplaud

David Laplaud is a scholar working on Pathology and Forensic Medicine, Immunology, Transplantation, Orthopedics and Sports Medicine and Neurology, having authored 117 papers that have together received 4.1k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (61 papers), T-cell and B-cell Immunology (25 papers), Immunotherapy and Immune Responses (23 papers), Peripheral Neuropathies and Disorders (16 papers), Sports Performance and Training (11 papers), Immune Cell Function and Interaction (9 papers), Systemic Lupus Erythematosus Research (8 papers) and Cardiovascular and exercise physiology (8 papers). The work is most often cited by research in Transplantation (296 citations), Pathology and Forensic Medicine (2.0k citations), Neurology (986 citations), Immunology (1.3k citations) and Neurology (369 citations). David Laplaud has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Sophie Brouard, Emmanuelle Le Page, Laure Michel, Sandrine Wiertlewski, Marc Coustans, Jean‐Paul Soulillou, J. de Sèze, Gilles Edan, Marion Salou and Sandra Vukusic. Their work appears in journals such as Multiple Sclerosis Journal, Neurology, Clinical Immunology, Frontiers in Immunology and Neurology Neuroimmunology & Neuroinflammation.

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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