Henri Martens

3.0k total citations
119 papers, 2.2k citations indexed

About

Henri Martens is a scholar working on Immunology, Genetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Henri Martens has authored 119 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Immunology, 27 papers in Genetics and 25 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Henri Martens's work include Diabetes and associated disorders (25 papers), T-cell and B-cell Immunology (20 papers) and Growth Hormone and Insulin-like Growth Factors (16 papers). Henri Martens is often cited by papers focused on Diabetes and associated disorders (25 papers), T-cell and B-cell Immunology (20 papers) and Growth Hormone and Insulin-like Growth Factors (16 papers). Henri Martens collaborates with scholars based in Belgium, France and Germany. Henri Martens's co-authors include Vincent Geenen, Georges J. Hoornaert, Denis Franchimont, Édouard Louis, Walthère Dewé, Jacques Bélaïche, Fabienne Brilot, Françoise Robert, Marie-Thérèse Hagelstein and George P. Chrousos and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Henri Martens

115 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Henri Martens Belgium 24 650 433 384 264 212 119 2.2k
B.F. Mitchell Canada 33 930 1.4× 322 0.7× 210 0.5× 532 2.0× 225 1.1× 105 3.6k
William Gibb Canada 34 932 1.4× 515 1.2× 378 1.0× 476 1.8× 74 0.3× 116 4.3k
H. Schneider Switzerland 42 891 1.4× 302 0.7× 192 0.5× 895 3.4× 219 1.0× 152 5.2k
David M. Lubaroff United States 37 807 1.2× 254 0.6× 136 0.4× 757 2.9× 102 0.5× 103 4.1k
Barry S. Handwerger United States 31 1.3k 2.0× 294 0.7× 319 0.8× 639 2.4× 108 0.5× 82 3.5k
Shin Tanaka Japan 29 215 0.3× 377 0.9× 216 0.6× 661 2.5× 102 0.5× 240 3.2k
Vincenzo De Leo Italy 41 442 0.7× 558 1.3× 1.1k 2.8× 862 3.3× 104 0.5× 213 5.6k
David L. Nelson United States 36 897 1.4× 357 0.8× 51 0.1× 657 2.5× 86 0.4× 106 3.5k
Tomoko Suzuki Japan 28 200 0.3× 126 0.3× 433 1.1× 617 2.3× 431 2.0× 157 3.5k
Bent Nørgaard‐Pedersen Denmark 36 491 0.8× 577 1.3× 109 0.3× 900 3.4× 50 0.2× 115 4.4k

Countries citing papers authored by Henri Martens

Since Specialization
Citations

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

Fields of papers citing papers by Henri Martens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Henri Martens

This figure shows the co-authorship network connecting the top 25 collaborators of Henri Martens. A scholar is included among the top collaborators of Henri Martens 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 Henri Martens. Henri Martens is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Degryse, Jean‐Marie, Séverine Henrard, Benoît Bihin, et al.. (2018). Spousal Caregiving is Associated With an Increased Risk of Frailty: A Case-Control Study. The Journal of Frailty & Aging. 7(3). 170–175. 19 indexed citations
2.
3.
Salvatori, Roberto, et al.. (2017). The Somatotrope Growth Hormone-Releasing Hormone/Growth Hormone/Insulin-Like Growth Factor-1 Axis in Immunoregulation and Immunosenescence. Frontiers of hormone research. 48. 147–159. 14 indexed citations
4.
Daubenbüchel, Anna M., Anika Hoffmann, Maria Eveslage, et al.. (2016). Oxytocin in survivors of childhood-onset craniopharyngioma. Endocrine. 54(2). 524–531. 54 indexed citations
5.
Stein, H, Roshanak Bob, Horst Dürkop, et al.. (2015). A new monoclonal antibody (CAL2) detects CALRETICULIN mutations in formalin-fixed and paraffin-embedded bone marrow biopsies. Leukemia. 30(1). 131–135. 22 indexed citations
6.
Polese, Barbara, et al.. (2014). The Endocrine Milieu and CD4 T-Lymphocyte Polarization during Pregnancy. Frontiers in Endocrinology. 5. 106–106. 85 indexed citations
7.
Cheynier, Rémi, et al.. (2009). Integrity of the somatotrope GH/IGF-1 axis is required for normal thymus function: a clinical study in patients with adult GH deficiency. Open Repository and Bibliography (University of Liège).
8.
Legros, Jean‐Jacques, et al.. (2009). Impact of Growth Hormone (GH) Deficiency and GH Replacement upon Thymus Function in Adult Patients (138.26). The Journal of Immunology. 182(Supplement_1). 138.26–138.26. 2 indexed citations
9.
Godard, Patrice, Marie de Saint‐Hubert, Florence Debacq‐Chainiaux, et al.. (2009). Transcriptomic biomarkers of human ageing in peripheral blood mononuclear cell total RNA. Experimental Gerontology. 45(3). 188–194. 20 indexed citations
10.
Martens, Henri, et al.. (2008). Aire and Foxp3 Expression in a Particular Microenvironment for T Cell Differentiation. NeuroImmunoModulation. 16(1). 35–44. 20 indexed citations
11.
Rasier, Grégory, Marie Paule Defresne, Roland Greimers, et al.. (2004). Neurohypophysial Receptor Gene Expression by Thymic T Cell Subsets and Thymic T Cell Lymphoma Cell Lines. Journal of Immunology Research. 11(1). 45–51. 10 indexed citations
12.
Geenen, Vincent, et al.. (2003). Quantification of T cell receptor rearrangement excision circles to estimate thymic function: an important new tool for endocrine-immune physiology. Journal of Endocrinology. 176(3). 305–311. 53 indexed citations
13.
Martens, Henri & Vincent Geenen. (2000). Focal Adhesion Kinases: Interest in Immunoendocrinology, Developmental Biology, and Cancer. Endocrine. 13(3). 233–242. 4 indexed citations
14.
Geenen, Vincent, Martin Wiemann, & Henri Martens. (1999). Thymus gland, Neuroendocrine-Immunology. Open Repository and Bibliography (University of Liège).
15.
Martens, Henri, et al.. (1999). Thymic insulin-related polypeptides in diabetes-prone Bio-Breeding rats. Open Repository and Bibliography (University of Liège). 1 indexed citations
16.
Martens, Henri, et al.. (1998). Phosphorylation of Proteins Induced in a Murine Pre-T Cell Line by Neurohypophysial Peptides. Advances in experimental medicine and biology. 449. 247–249. 3 indexed citations
17.
Geenen, Vincent, et al.. (1996). Developmental and Evolutionary Aspects of Thymic T Cell Education to Neuroendocrine Self. Acta Haematologica. 95(3-4). 263–267. 3 indexed citations
18.
Geenen, Vincent, Eric Vandersmissen, Henri Martens, Gérard Degiovanni, & P Franchimont. (1993). Evidence for the association between human thymic MHC class I molecules and a dominant neurohypophysial thymic peptide. Open Repository and Bibliography (University of Liège). 1 indexed citations
19.
Geenen, Vincent, Eric Vandersmissen, Henri Martens, et al.. (1993). Membrane translocation and relationship with MHC class I of a human thymic neurophysin-like protein.. PubMed. 22(1). 55–66. 19 indexed citations
20.
Robert, Françoise, Henri Martens, N. Cormann, et al.. (1992). The Recognition of Hypothalamo‐NeurohypophysialFunctions by Developing T Cells. Journal of Immunology Research. 2(2). 131–140. 26 indexed citations

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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