Thierry Jo Molina

20.7k total citations · 1 hit paper
252 papers, 9.2k citations indexed

About

Thierry Jo Molina is a scholar working on Pathology and Forensic Medicine, Oncology and Immunology. According to data from OpenAlex, Thierry Jo Molina has authored 252 papers receiving a total of 9.2k indexed citations (citations by other indexed papers that have themselves been cited), including 118 papers in Pathology and Forensic Medicine, 77 papers in Oncology and 49 papers in Immunology. Recurrent topics in Thierry Jo Molina's work include Lymphoma Diagnosis and Treatment (111 papers), Chronic Lymphocytic Leukemia Research (43 papers) and Viral-associated cancers and disorders (43 papers). Thierry Jo Molina is often cited by papers focused on Lymphoma Diagnosis and Treatment (111 papers), Chronic Lymphocytic Leukemia Research (43 papers) and Viral-associated cancers and disorders (43 papers). Thierry Jo Molina collaborates with scholars based in France, Belgium and Canada. Thierry Jo Molina's co-authors include Hervé Tilly, J Diébold, Philippe Gaulard, Christian Gisselbrecht, Josée Audouin, Kenji Kishihara, Tak W. Mak, Pascale Briand, Corinne Haïoun and Gilles Salles and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Thierry Jo Molina

230 papers receiving 9.0k citations

Hit Papers

align trajectories sort by overperformance

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.

Profound block in thymocyte development in mice lacking p56lck

1992 867 citations Thierry Jo Molina et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thierry Jo Molina France	46	3.6k	3.4k	2.8k	2.2k	1.5k	252	9.2k
Ritsuro Suzuki Japan	59	5.4k 1.5×	5.3k 1.6×	3.2k 1.1×	2.1k 1.0×	1.7k 1.2×	381	13.2k
Koichi Ohshima Japan	59	6.1k 1.7×	6.3k 1.9×	5.7k 2.0×	2.2k 1.0×	1.9k 1.3×	570	14.3k
Pierre Brousset France	46	3.1k 0.9×	3.5k 1.0×	1.2k 0.4×	1.4k 0.7×	866 0.6×	223	6.7k
Ulrich Dührsen Germany	51	3.3k 0.9×	3.0k 0.9×	3.2k 1.1×	2.2k 1.0×	3.3k 2.2×	283	10.3k
Stephan Dirnhofer Switzerland	52	2.5k 0.7×	3.0k 0.9×	1.5k 0.5×	2.9k 1.3×	1.8k 1.2×	176	8.6k
Giovanni Pizzolo Italy	58	3.0k 0.8×	2.6k 0.8×	4.9k 1.7×	2.1k 1.0×	3.6k 2.5×	283	11.9k
Karen Pulford United Kingdom	47	3.3k 0.9×	2.9k 0.9×	2.8k 1.0×	3.8k 1.8×	1.2k 0.8×	108	11.2k
Hilmar Lemke Germany	33	3.4k 1.0×	3.4k 1.0×	3.6k 1.3×	3.4k 1.6×	1.2k 0.8×	74	12.2k
Shigeo Mori Japan	46	2.4k 0.7×	3.4k 1.0×	1.7k 0.6×	2.4k 1.1×	585 0.4×	213	7.9k
Alberto Órfão Spain	66	2.7k 0.8×	3.1k 0.9×	5.8k 2.1×	4.5k 2.1×	3.4k 2.3×	463	16.1k

Countries citing papers authored by Thierry Jo Molina

Since Specialization

Citations

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

Fields of papers citing papers by Thierry Jo Molina

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thierry Jo Molina. 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 Thierry Jo Molina. The network helps show where Thierry Jo Molina may publish in the future.

Co-authorship network of co-authors of Thierry Jo Molina

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

All Works

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20 of 20 papers shown

Beaupain, Blandine, Felipe Suárez, Yves Bertrand, et al.. (2024). CXCR4WHIMsyndrome is a cancer predisposition condition for virus‐induced malignancies. British Journal of Haematology. 204(4). 1383–1392. 2 indexed citations

Brousse, Valentine, Sara El Hoss, Pierre Isnard, et al.. (2024). Comparative histological analysis of spleens in pediatric patients with hemolytic anemias: Insights into the pathophysiological mechanisms of spleen destruction in sickle cell anemia. American Journal of Hematology. 99(9). 1670–1679. 2 indexed citations

Adel‐Patient, Karine, Florence Campeotto, Marta Grauso, et al.. (2023). Assessment of local and systemic signature of eosinophilic esophagitis (EoE) in children through multi-omics approaches. Frontiers in Immunology. 14. 1108895–1108895. 10 indexed citations

Camus, Vincent, Aurélien Belot, Lucie Obéric, et al.. (2022). Outcomes of older patients with diffuse large B-cell lymphoma treated with R-CHOP: 10-year follow-up of the LNH03-6B trial. Blood Advances. 6(24). 6169–6179. 8 indexed citations

Fournier, Benjamin, Akihiro Hoshino, Julie Bruneau, et al.. (2022). Inherited TNFSF9 deficiency causes broad Epstein–Barr virus infection with EBV+ smooth muscle tumors. The Journal of Experimental Medicine. 219(7). 16 indexed citations

Sarkozy, Clémentine, Franck Morschhauser, Sydney Dubois, et al.. (2020). A LYSA Phase Ib Study of Tazemetostat (EPZ-6438) plus R-CHOP in Patients with Newly Diagnosed Diffuse Large B-Cell Lymphoma (DLBCL) with Poor Prognosis Features. Clinical Cancer Research. 26(13). 3145–3153. 54 indexed citations

Denize, Thomas, Mathilde Sibony, Hélène Blons, et al.. (2020). MET alterations in biphasic squamoid alveolar papillary renal cell carcinomas and clinicopathological features. Modern Pathology. 34(3). 647–659. 18 indexed citations

Drieux, Fanny, Vinciane Marchand, Liana Veresezan, et al.. (2020). Combining gene expression profiling and machine learning to diagnose B-cell non-Hodgkin lymphoma. Blood Cancer Journal. 10(5). 59–59. 25 indexed citations

Molina, Thierry Jo, Lara Chalabreysse, Vincent de Montpréville, et al.. (2020). Impact of expert pathologic review of thymic epithelial tumours on diagnosis and management in a real-life setting: A RYTHMIC study. European Journal of Cancer. 143. 158–167. 9 indexed citations

10.

Dansin, Éric, Laurent Mhanna, Laurent Greillier, et al.. (2018). Systemic Therapy in Advanced Thymic Epithelial Tumors: Insights from the RYTHMIC Prospective Cohort. Journal of Thoracic Oncology. 13(11). 1762–1770. 50 indexed citations

11.

Jeremiah, Nadia, Bénédicte Neven, Matteo Gentili, et al.. (2014). Inherited STING-activating mutation underlies a familial inflammatory syndrome with lupus-like manifestations. Journal of Clinical Investigation. 124(12). 5516–5520. 393 indexed citations

12.

Molina, Thierry Jo, et al.. (2013). Autoimmune Hemolytic Anemia and Nodular Lymphocyte-Predominant Hodgkin Lymphoma: A Rare Association. SHILAP Revista de lepidopterología. 2013. 1–5. 4 indexed citations

13.

Hofman, Véronique, Christelle Bonnetaud, Marius Ilié, et al.. (2010). Preoperative Circulating Tumor Cell Detection Using the Isolation by Size of Epithelial Tumor Cell Method for Patients with Lung Cancer Is a New Prognostic Biomarker. Clinical Cancer Research. 17(4). 827–835. 247 indexed citations

14.

Copie‐Bergman, Christiane, Philippe Gaulard, Karen Leroy, et al.. (2009). Immuno–Fluorescence In Situ Hybridization Index Predicts Survival in Patients With Diffuse Large B-Cell Lymphoma Treated With R-CHOP: A GELA Study. Journal of Clinical Oncology. 27(33). 5573–5579. 84 indexed citations

15.

Baleydier, Frédéric, Anne‐Valérie Decouvelaere, Julie Bergeron, et al.. (2008). T Cell Receptor Genotyping and HOXA/TLX1 Expression Define Three T Lymphoblastic Lymphoma Subsets which Might Affect Clinical Outcome. Clinical Cancer Research. 14(3). 692–700. 30 indexed citations

16.

Safeukui, Innocent, Jean-Michel Corréas, Valentine Brousse, et al.. (2008). Retention of Plasmodium falciparum ring-infected erythrocytes in the slow, open microcirculation of the human spleen. Blood. 112(6). 2520–2528. 122 indexed citations

17.

Bonnet, Christophe, Georges Fillet, Nicolas Mounier, et al.. (2007). CHOP Alone Compared With CHOP Plus Radiotherapy for Localized Aggressive Lymphoma in Elderly Patients: A Study by the Groupe d’Etude des Lymphomes de l’Adulte. Journal of Clinical Oncology. 25(7). 787–792. 161 indexed citations

18.

Badoual, Cécile, Benoît Vingert, Nour El Houda Agueznay, et al.. (2005). Phénotypes et fonctions des lymphocytes T en pathologie tumorale. Annales de Pathologie. 25(3). 211–219.

19.

Ruskoné-Fourmestraux, A., Anne Lavergne‐Slove, Thierry Jo Molina, et al.. (2001). MALT lymphoma with t(11;18)(q21;q21) fails to respond to H-pylori eradication therapy. UCL Discovery (University College London). 4 indexed citations

20.

Camilleri‐Broët, Sophie, Thierry Jo Molina, Josée Audouin, A. Le Tourneau, & J Diébold. (1996). Morphological variability of tumour cells in T-cell-rich B-cell lymphoma. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 429-429(4-5). 243–248. 22 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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