Jean Tkaczuk

1.2k total citations
48 papers, 941 citations indexed

About

Jean Tkaczuk is a scholar working on Immunology, Oncology and Surgery. According to data from OpenAlex, Jean Tkaczuk has authored 48 papers receiving a total of 941 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Immunology, 10 papers in Oncology and 9 papers in Surgery. Recurrent topics in Jean Tkaczuk's work include T-cell and B-cell Immunology (8 papers), Immune Cell Function and Interaction (7 papers) and Pain Management and Opioid Use (6 papers). Jean Tkaczuk is often cited by papers focused on T-cell and B-cell Immunology (8 papers), Immune Cell Function and Interaction (7 papers) and Pain Management and Opioid Use (6 papers). Jean Tkaczuk collaborates with scholars based in France, United States and Poland. Jean Tkaczuk's co-authors include M. Abbal, Lionel Rostaing, Carlos A. Peres, Y Lazorthes, E. Ohayon, Mathieu Tafani, Georges Delsol, Brigitte Sallerin, T. Al Saati and Shashikant Chittal and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Biochemical Journal.

In The Last Decade

Jean Tkaczuk

48 papers receiving 920 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jean Tkaczuk France 18 264 205 175 170 136 48 941
Roy A. Dempsey United States 16 585 2.2× 143 0.7× 66 0.4× 207 1.2× 151 1.1× 30 1.1k
B Nabarra France 19 387 1.5× 59 0.3× 99 0.6× 317 1.9× 74 0.5× 63 1.4k
A. Reuter Belgium 16 449 1.7× 248 1.2× 67 0.4× 262 1.5× 143 1.1× 53 1.4k
Sandro L. Yong Netherlands 20 264 1.0× 208 1.0× 73 0.4× 588 3.5× 49 0.4× 41 1.3k
Fumimaro Oseko Japan 17 214 0.8× 83 0.4× 68 0.4× 234 1.4× 91 0.7× 67 892
T Nakazawa Japan 15 250 0.9× 84 0.4× 148 0.8× 194 1.1× 86 0.6× 41 867
Stefan M. Weiner Germany 21 223 0.8× 230 1.1× 68 0.4× 145 0.9× 208 1.5× 56 1.4k
Jurandir J. Dalle Lucca United States 23 324 1.2× 141 0.7× 86 0.5× 189 1.1× 54 0.4× 36 975
Lisa Park United States 11 172 0.7× 173 0.8× 130 0.7× 260 1.5× 57 0.4× 30 1.4k
Anne Ricksten Sweden 21 201 0.8× 405 2.0× 292 1.7× 290 1.7× 662 4.9× 59 1.7k

Countries citing papers authored by Jean Tkaczuk

Since Specialization
Citations

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

Fields of papers citing papers by Jean Tkaczuk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jean Tkaczuk

This figure shows the co-authorship network connecting the top 25 collaborators of Jean Tkaczuk. A scholar is included among the top collaborators of Jean Tkaczuk 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 Jean Tkaczuk. Jean Tkaczuk 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.
Apoil, P.A., Bénédicte Puissant‐Lubrano, Nicolas Congy‐Jolivet, et al.. (2017). Reference values for T, B and NK human lymphocyte subpopulations in adults. Data in Brief. 12. 400–404. 34 indexed citations
2.
Apoil, P.A., Bénédicte Puissant‐Lubrano, Nicolas Congy‐Jolivet, et al.. (2017). Influence of age, sex and HCMV-serostatus on blood lymphocyte subpopulations in healthy adults. Cellular Immunology. 314. 42–53. 28 indexed citations
3.
Fossat, Chantal, Mikaël Roussel, Isabelle Arnoux, et al.. (2014). Methodological aspects of minimal residual disease assessment by flow cytometry in acute lymphoblastic leukemia: A french multicenter study. Cytometry Part B Clinical Cytometry. 88(1). 21–29. 33 indexed citations
4.
Iriart, Xavier, Benoît Witkowski, Jean Tkaczuk, et al.. (2010). Cellular and cytokine changes in the alveolar environment among immunocompromised patients duringPneumocystis jiroveciiinfection. Medical Mycology. 48(8). 1075–1087. 25 indexed citations
5.
Esposito, Laure, Nassim Kamar, Jean Tkaczuk, et al.. (2005). Long-Term Evolution of Lymphocytes Subsets After Induction Therapy Based on Continuous Versus Discontinuous Administration of Anti-Thymocyte Globulins in Renal-Transplant Patients. Transplantation Proceedings. 37(2). 785–787. 17 indexed citations
6.
Tkaczuk, Jean, Chao‐Lan Yu, Shairaz Baksh, et al.. (2002). Effect of Anti‐IL‐2Rα Antibody on IL‐2‐induced Jak/STAT Signaling. American Journal of Transplantation. 2(1). 31–40. 27 indexed citations
7.
Lazorthes, Y, Brigitte Sallerin, J.C. Verdié, et al.. (2000). [Management of intractable cancer pain: from intrathecal morphine to cell allograft].. PubMed. 46(5). 454–65. 8 indexed citations
8.
Lazorthes, Y, et al.. (2000). [Clinical perspectives of xenografts: encapsulated chromaffin cells and pain].. PubMed. 48(4). 365–7. 2 indexed citations
9.
Laharrague, Patrick, A M Fontanilles, Jean Tkaczuk, et al.. (2000). Inflammatory/haematopoietic cytokine production by human bone marrow adipocytes. HAL (Le Centre pour la Communication Scientifique Directe). 42 indexed citations
10.
Rostaing, Lionel, Carlos A. Peres, Jean Tkaczuk, et al.. (2000). Ex vivo Flow Cytometry Determination of Intracytoplasmic Expression of IL-2, IL-6, IFN-γ, and TNF-α in Monocytes and T Lymphocytes, in Chronic Hemodialysis Patients. American Journal of Nephrology. 20(1). 18–26. 21 indexed citations
11.
12.
Tkaczuk, Jean, T. Al Saati, Isabelle Escargueil‐Blanc, et al.. (1999). The CBF.78 monoclonal antibody to human sialophorin has distinct properties giving new insights into the CD43 marker and its activation pathway. Tissue Antigens. 54(1). 1–15. 6 indexed citations
13.
Rostaing, Lionel, Jean Tkaczuk, Carlos A. Peres, et al.. (1999). Differences in Type 1 and Type 2 intracytoplasmic cytokines, detected by flow cytometry, according to immunosuppression (cyclosporine A vs. tacrolimus) in stable renal allograft recipients. Clinical Transplantation. 13(5). 400–409. 47 indexed citations
14.
15.
Rostaing, Lionel, et al.. (1998). Predicting Factors for Long-Term Results of OKT3 Therapy in Steroid-Resistant Acute Rejection Following Cadaveric Renal Transplantation. Transplantation Proceedings. 30(4). 1170–1172. 4 indexed citations
16.
Tkaczuk, Jean, Mathieu Tafani, Hélène Duplan, et al.. (1997). Intrathecal allograft of chromaffin cells for intractable pain treatment: A model for understanding CNS tolerance mechanisms in humans. Transplantation Proceedings. 29(5). 2356–2357. 8 indexed citations
17.
18.
Cayrol, Corinne, et al.. (1992). New polymorphic HLA‐DR epitopes recognized by three monoclonal antibodies produced against DR103 transfected L cells. Tissue Antigens. 40(4). 197–203. 2 indexed citations
19.
Tkaczuk, Jean, et al.. (1991). EXTENDED HLA‐DQw2 HAPLOTYPES: MOLECULAR ANALYSIS. International Journal of Immunogenetics. 18(4). 247–257. 2 indexed citations
20.
Bignon, Jean‐Denis, Jean Tkaczuk, Hélène Coppin, et al.. (1990). Functional properties of HLA‐DR‐BON alleles associated with DQw5(w1) and with DQw7(w3): A family study. Tissue Antigens. 36(2). 62–68. 2 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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