David Ternant

4.6k citations
97 papers · 2.9k · h-index 30

Impact in

  • Immunology top 5%
    • Biosimilars and Bioanalytical Methods
  • Genetics top 2%
    • Inflammatory Bowel Disease
    • Chronic Lymphocytic Leukemia Research

Papers in

David Ternant

94 papers receiving 2.8k citations

Peers

David Ternant
Comparison fields: 5 of 104
  • Immunology 741
  • Genetics 327
  • Radiology, Nuclear Medicine and Imaging 656
  • Rheumatology 399
  • Genetics 726
Replace Carlo Carcassi with:
Carlo Carcassi Italy
Nicole Fabien France
Robert J. Hayashi United States
Hans‐Peter Tony Germany
Luís Teixeira France
Melissa R. Snyder United States
George E. Georges United States
Katherine Siminovitch Canada
Winson W. Tang United States
Anne Bordron France
David Ternant relative to Carlo Carcassi Italy Carlo Carcassi's profile →
Citations per field
00.5×4.8×
Carlo Carcassi · 1×
Citations per year

Countries citing papers authored by David Ternant

Since Specialization
Citations

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

Fields of papers citing papers by David Ternant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008380
2 2008152
3 2011128
4 2009128
5 200891
6 200589
7 201586
8 200686
9 201180
10 201475
11 201370
12 201765
13 201563
14 201654
15 200953
16 201052
17 201452
18 201551
19 201650
20 201349

About David Ternant

David Ternant is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology, Rheumatology, Genetics and Oncology, having authored 97 papers that have together received 2.9k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (22 papers), Chronic Lymphocytic Leukemia Research (13 papers), Rheumatoid Arthritis Research and Therapies (12 papers), Biosimilars and Bioanalytical Methods (11 papers), Inflammatory Bowel Disease (9 papers), Systemic Lupus Erythematosus Research (7 papers), Colorectal Cancer Treatments and Studies (6 papers) and Lymphoma Diagnosis and Treatment (6 papers). The work is most often cited by research in Immunology (741 citations), Genetics (327 citations), Radiology, Nuclear Medicine and Imaging (656 citations), Rheumatology (399 citations) and Genetics (726 citations). David Ternant has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Gilles Paintaud, Denis Mulleman, Hervé Watier, Philippe Goupille, Charlotte Magdelaine–Beuzelin, Hervé Watier, Danielle Degenne, Théodora Bejan‐Angoulvant, Émilie Ducourau and Christophe Passot. Their work appears in journals such as British Journal of Clinical Pharmacology, Clinical Pharmacokinetics, Therapeutic Drug Monitoring, mAbs and Scientific Reports.

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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