Daniel Lambert

37 papers receiving 1.0k citations

Peers

Daniel Lambert
Comparison fields: 5 of 99
  • Rheumatology 405
  • Dermatology 110
  • Hematology 98
  • Pediatrics, Perinatology and Child Health 158
  • Obstetrics and Gynecology 61
Replace Farès Namour with:
Farès Namour France
Nuri Çakır Türkiye
Michèle Pfister France
Collynn F. Woeller United States
Kuo‐Tung Tang Taiwan
Seibei Miyake Japan
Lijun Wu China
Pervin Vural Türkiye
Chunyuan Guo China
Joanna Kamińska Poland
Daniel Lambert relative to Farès Namour France Farès Namour's profile →
Citations per field
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Farès Namour · 1×
Citations per year

Countries citing papers authored by Daniel Lambert

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Lambert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000247
2 1999121
3 200376
4 200576
5 200469
6 200444
7 201535
8 200332
9 198432
10 201530
11 199627
12 200426
13 199024
14 201022
15 200021
16 200320
17 200018
18 196917
19 199615
20 201214

About Daniel Lambert

Daniel Lambert is a scholar working on Molecular Biology, Surgery, Rheumatology, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 37 papers that have together received 1.0k indexed citations. Recurring topics across this work include Folate and B Vitamins Research (8 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers), Cancer, Lipids, and Metabolism (3 papers), Cell Adhesion Molecules Research (3 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), Computational Drug Discovery Methods (3 papers), Porphyrin Metabolism and Disorders (3 papers) and Diabetes Management and Research (2 papers). The work is most often cited by research in Rheumatology (405 citations), Dermatology (110 citations), Hematology (98 citations), Pediatrics, Perinatology and Child Health (158 citations) and Obstetrics and Gynecology (61 citations). Daniel Lambert has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Michèle Pfister, Abalo Chango, Sophie Visvikis‐Siest, David S. Rosenblatt, Jean-Pierre Nicolas, Bernard Herbeth, G. Potier de Courcy, Suzanne Droesch, Anne Ponthieux and Nadia Haddy. Their work appears in journals such as Clinica Chimica Acta, Atherosclerosis, European Journal of Human Genetics, Molecular and Cellular Biochemistry and Journal of Pharmaceutical Sciences.

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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