Thomas Sénard

530 total citations · 1 hit paper
6 papers, 405 citations indexed

About

Thomas Sénard is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine. According to data from OpenAlex, Thomas Sénard has authored 6 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Thomas Sénard's work include Glycosylation and Glycoproteins Research (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Protein purification and stability (3 papers). Thomas Sénard is often cited by papers focused on Glycosylation and Glycoproteins Research (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Protein purification and stability (3 papers). Thomas Sénard collaborates with scholars based in Netherlands, Croatia and Italy. Thomas Sénard's co-authors include David Falck, Manfred Wuhrer, Gestur Vidarsson, Steven W. de Taeye, Theo Rispens, Govert W. Somsen, Andrea Gargano, Elena Domínguez‐Vega, Joyce Meesters and Suzanne N. Lissenberg‐Thunnissen and has published in prestigious journals such as Analytical Chemistry, Frontiers in Immunology and Analytica Chimica Acta.

In The Last Decade

Thomas Sénard

5 papers receiving 403 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

MS-Based Allotype-Specific Analysis of Polyclonal IgG-Fc N-Glycosylation

2020 260 citations Thomas Sénard, Andrea Gargano et al. Frontiers in Immunology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Thomas Sénard Netherlands	4	167	160	111	81	54	6	405
Gloria Griffante Italy	9	181 1.1×	128 0.8×	51 0.5×	55 0.7×	54 1.0×	19	399
Stephan Menzel Germany	16	289 1.7×	190 1.2×	123 1.1×	141 1.7×	206 3.8×	41	737
Herbert A. Runnels United States	12	193 1.2×	264 1.6×	42 0.4×	52 0.6×	83 1.5×	14	544
Renji Reghunathan Singapore	5	159 1.0×	110 0.7×	37 0.3×	141 1.7×	26 0.5×	5	378
Arron Hearn United Kingdom	12	273 1.6×	245 1.5×	35 0.3×	38 0.5×	113 2.1×	13	512
Alexandre Avraméas Switzerland	13	251 1.5×	249 1.6×	144 1.3×	24 0.3×	42 0.8×	23	652
Feimei Liu United States	7	107 0.6×	113 0.7×	69 0.6×	234 2.9×	21 0.4×	10	452
Pascal Chappert France	14	315 1.9×	190 1.2×	24 0.2×	89 1.1×	93 1.7×	22	578
Charles Allen United States	13	108 0.6×	92 0.6×	31 0.3×	74 0.9×	41 0.8×	20	360
Irun R. Cohen Israel	7	286 1.7×	144 0.9×	60 0.5×	29 0.4×	36 0.7×	7	470

Countries citing papers authored by Thomas Sénard

Since Specialization

Citations

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

Fields of papers citing papers by Thomas Sénard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Sénard

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Sénard. A scholar is included among the top collaborators of Thomas Sénard based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Thomas Sénard. Thomas Sénard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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6 of 6 papers shown

1.

Sealey, Megan, Mark Woodhall, Patrick Waters, et al.. (2025). Plasma N -Glycan Profiling Enhances Diagnostic Precision in Multiple Sclerosis, AQP4-Ab NMOSD, and MOGAD. Neurology Neuroimmunology & Neuroinflammation. 12(6). e200502–e200502.

2.

Blöchl, Constantin, Christoph Gstöttner, Thomas Sénard, et al.. (2023). A robust nanoscale RP HPLC-MS approach for sensitive Fc proteoform profiling of IgG allotypes. Analytica Chimica Acta. 1279. 341795–341795. 2 indexed citations

3.

Sénard, Thomas, Frano Vučković, Aggelos Banos, et al.. (2022). Baseline IgG-Fc N-glycosylation profile is associated with long-term outcome in a cohort of early inflammatory arthritis patients. Arthritis Research & Therapy. 24(1). 206–206. 4 indexed citations

4.

Taeye, Steven W. de, Arthur E. H. Bentlage, Mirjam M. Mebius, et al.. (2020). FcγR Binding and ADCC Activity of Human IgG Allotypes. Frontiers in Immunology. 11. 740–740. 124 indexed citations

5.

Sénard, Thomas, Erik L. de Graaf, George M. C. Janssen, et al.. (2020). Site-Specific Glycosylation Mapping of Fc Gamma Receptor IIIb from Neutrophils of Individual Healthy Donors. Analytical Chemistry. 92(19). 13172–13181. 15 indexed citations

6.

Sénard, Thomas, Andrea Gargano, David Falck, et al.. (2020). MS-Based Allotype-Specific Analysis of Polyclonal IgG-Fc N-Glycosylation. Frontiers in Immunology. 11. 260 indexed citations breakdown →

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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