C. Vasselon

1.2k total citations · 1 hit paper
27 papers, 964 citations indexed

About

C. Vasselon is a scholar working on Hematology, Genetics and Molecular Biology. According to data from OpenAlex, C. Vasselon has authored 27 papers receiving a total of 964 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Hematology, 8 papers in Genetics and 7 papers in Molecular Biology. Recurrent topics in C. Vasselon's work include Acute Myeloid Leukemia Research (9 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Cell death mechanisms and regulation (5 papers). C. Vasselon is often cited by papers focused on Acute Myeloid Leukemia Research (9 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Cell death mechanisms and regulation (5 papers). C. Vasselon collaborates with scholars based in France, United States and Netherlands. C. Vasselon's co-authors include Lydia Campos, Odile Sabido, E Archimbaud, P. Oriol, N. Roubi, JP Magaud, J. Jaubert, Denis Guyotat, C.P. Brizard and M. F. Bertheas and has published in prestigious journals such as Blood, Cancer and British Journal of Haematology.

In The Last Decade

C. Vasselon

26 papers receiving 932 citations

Hit Papers

High expression of bcl-2 protein in acute myeloid leukemi... 1993 2026 2004 2015 1993 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Vasselon France 11 625 420 273 139 127 27 964
N. Roubi France 6 558 0.9× 377 0.9× 232 0.8× 116 0.8× 108 0.9× 8 809
Masato Shikami Japan 18 703 1.1× 451 1.1× 381 1.4× 126 0.9× 180 1.4× 31 1.1k
Milada S. Vala United States 14 349 0.6× 437 1.0× 261 1.0× 177 1.3× 208 1.6× 20 860
Ugo Consoli Italy 17 367 0.6× 257 0.6× 395 1.4× 181 1.3× 239 1.9× 36 863
W-D Ludwig Germany 13 397 0.6× 278 0.7× 190 0.7× 149 1.1× 148 1.2× 13 756
SA Stass United States 13 547 0.9× 553 1.3× 427 1.6× 247 1.8× 86 0.7× 26 1.0k
JP Magaud France 11 713 1.1× 323 0.8× 500 1.8× 218 1.6× 191 1.5× 20 1.3k
Timothy J. Hoy United Kingdom 19 504 0.8× 189 0.5× 240 0.9× 374 2.7× 197 1.6× 34 896
Maria Daniotti Italy 10 607 1.0× 323 0.8× 335 1.2× 88 0.6× 150 1.2× 11 1.2k
Lars Klemm United States 11 425 0.7× 220 0.5× 189 0.7× 106 0.8× 185 1.5× 34 818

Countries citing papers authored by C. Vasselon

Since Specialization
Citations

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

Fields of papers citing papers by C. Vasselon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Vasselon

This figure shows the co-authorship network connecting the top 25 collaborators of C. Vasselon. A scholar is included among the top collaborators of C. Vasselon 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 C. Vasselon. C. Vasselon 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.
Vasselon, C., et al.. (2017). Blood parameters of preterm neonates: postnatal evolution according to gestational age. International Journal of Laboratory Hematology. 39(3). 317–328. 6 indexed citations
2.
Chalayer, Émilie, N. Costedoat‐Chalumeau, Odile Beyne‐Rauzy, et al.. (2017). Bone marrow involvement in systemic lupus erythematosus. QJM. 110(11). 701–711. 22 indexed citations
3.
Thouvenin, Sandrine, et al.. (2013). Encéphalites limbiques paranéoplasiques de l’enfant : à propos de 2 observations. Archives de Pédiatrie. 20(4). 386–390. 3 indexed citations
4.
Campos, Lydia, Nathalie Nadal, Pascale Flandrin‐Gresta, et al.. (2010). Congenital acute leukemia with initial indolent presentation—A case report. Cytometry Part B Clinical Cytometry. 80B(2). 130–133. 2 indexed citations
5.
Boudard, Delphine, C. Vasselon, J. Jaubert, et al.. (2002). Expression and prognostic significance of Bcl‐2 family proteins in myelodysplastic syndromes. American Journal of Hematology. 70(2). 115–125. 50 indexed citations
6.
Boudard, Delphine, Olivier Sordet, C. Vasselon, et al.. (2000). Expression and activity of caspases 1 and 3 in myelodysplastic syndromes. Leukemia. 14(12). 2045–2051. 36 indexed citations
7.
Campos, Lydia, et al.. (1999). Expression of Apoptosis-Controlling Proteins in Acute Leukemia Cells. Leukemia & lymphoma. 33(5-6). 499–509. 38 indexed citations
8.
Misery, L., et al.. (1994). [Sweet syndrome in agranulocytosis. A pathogenic hypothesis].. PubMed. 121(5). 414–5. 2 indexed citations
9.
Campos, Lydia, Odile Sabido, P. Oriol, et al.. (1993). High expression of bcl-2 protein in acute myeloid leukemia cells is associated with poor response to chemotherapy. Blood. 81(11). 3091–3096. 642 indexed citations breakdown →
10.
Sabido, Odile, et al.. (1993). HIGH EXPRESSION OF BCL2 PROTEIN IN ACUTE MYELOID LEUKEMIA CELLS IN ASSOCIATED WITH POOR RESPONSE TO CHEMOTHERAPY. 81(11). 3091–3096. 7 indexed citations
11.
Rimokh, Ruth, C. Vasselon, Françoise Berger, et al.. (1992). t(2; 18) and t(18;22) Variant Chromosomal Translocations in B Cell Malignancies. Leukemia & lymphoma. 8(3). 197–200. 7 indexed citations
12.
Bertheas, M. F., et al.. (1991). A case of myelodysplastic syndrome with abnormal megakaryocytes and ins(8;3)(q24;q21q26). Cancer Genetics and Cytogenetics. 55(1). 31–34. 1 indexed citations
13.
Rimokh, Ruth, Françoise Berger, M Gaucherand, et al.. (1991). MOLECULAR STUDY OF A VARIANT TRANSLOCATION t(2;18)(p11;q21) IN A FOLLICULAR LYMPHOMA. British Journal of Haematology. 78(1). 132–134. 10 indexed citations
14.
Vindimian, M, et al.. (1989). Molecular diagnosis of chronic myeloid leukemia using a 3'bcr probe.. PubMed. 31(6). 393–5. 1 indexed citations
15.
Bertheas, M. F., J. Jaubert, C. Vasselon, et al.. (1989). A complex t(3;8;17) involving breakpoint 8p11 in a case of M5 acute nonlymphocytic leukemia with erythrophagocytosis. Cancer Genetics and Cytogenetics. 42(1). 67–73. 11 indexed citations
16.
Archimbaud, E, et al.. (1987). Prognostic factors in angioimmunoblastic lymphadenopathy. Cancer. 59(2). 208–212. 25 indexed citations
17.
Herrmann, Torsten, et al.. (1981). Influence of oxygen tensions, intracellular enzymes and hematological factors on RBC filterability. Biorheology. 18(3-6). 493–499. 5 indexed citations
18.
Vasselon, C., et al.. (1981). RBC filterability in β Thalassaemia. Scandinavian Journal of Clinical and Laboratory Investigation. 41(sup156). 265–267. 3 indexed citations
19.
Vasselon, C., et al.. (1981). RBC filterability, oxygen saturation, ATP intracellular stock, and cerebral microcirculation. Scandinavian Journal of Clinical and Laboratory Investigation. 41(sup156). 213–216. 4 indexed citations
20.
Lenoir, Gilbert, et al.. (1981). Variant translocation in Burkitt's lymphoma: 8;22 translocation in a french patient with an Epstein-Barr virus-associated tumor. Cancer Genetics and Cytogenetics. 3(2). 149–153. 14 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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