Olga Dunda

412 total citations
9 papers, 333 citations indexed

About

Olga Dunda is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging and Hematology. According to data from OpenAlex, Olga Dunda has authored 9 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 3 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Hematology. Recurrent topics in Olga Dunda's work include Hemoglobinopathies and Related Disorders (5 papers), T-cell and B-cell Immunology (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Olga Dunda is often cited by papers focused on Hemoglobinopathies and Related Disorders (5 papers), T-cell and B-cell Immunology (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Olga Dunda collaborates with scholars based in France, United States and Cameroon. Olga Dunda's co-authors include Daniel Corcos, Dominique Labie, Rolande Ducrocq, Jacques Élion, G Trabuchet, Jacques Jami, Jean-Marie Bodo, Rajagopal Krishnamoorthy, P. Carnevale and Danielle Bucchini and has published in prestigious journals such as The Journal of Immunology, Current Biology and European Journal of Immunology.

In The Last Decade

Olga Dunda

9 papers receiving 313 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Olga Dunda France 9 213 173 97 63 48 9 333
C Herens Belgium 8 48 0.2× 86 0.5× 35 0.4× 67 1.1× 63 1.3× 19 219
P. Morel United States 9 222 1.0× 372 2.2× 40 0.4× 55 0.9× 56 1.2× 13 446
Johannes Ihle Germany 9 19 0.1× 55 0.3× 89 0.9× 71 1.1× 105 2.2× 14 244
Timon Hansen Germany 7 57 0.3× 163 0.9× 59 0.6× 14 0.2× 193 4.0× 10 296
Shelby A. Rogers United States 4 67 0.3× 80 0.5× 54 0.6× 19 0.3× 40 0.8× 8 163
B P Alter United States 7 135 0.6× 222 1.3× 15 0.2× 37 0.6× 235 4.9× 10 400
M.R. Combs United States 9 181 0.8× 287 1.7× 19 0.2× 77 1.2× 23 0.5× 15 332
AE Kulozik United Kingdom 9 465 2.2× 367 2.1× 9 0.1× 89 1.4× 149 3.1× 12 566
Eileen E. Thomson Nigeria 8 22 0.1× 208 1.2× 38 0.4× 79 1.3× 112 2.3× 13 321
Yael Gelfand Israel 11 20 0.1× 193 1.1× 238 2.5× 23 0.4× 34 0.7× 18 345

Countries citing papers authored by Olga Dunda

Since Specialization
Citations

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

Fields of papers citing papers by Olga Dunda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Olga Dunda

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

All Works

9 of 9 papers shown
1.
Corcos, Daniel, Alf Grandien, Aimé Vázquez, et al.. (2001). Expression of a V Region-Less B Cell Receptor Confers a Tolerance-Like Phenotype on Transgenic B Cells. The Journal of Immunology. 166(5). 3083–3089. 9 indexed citations
2.
Dunda, Olga & Daniel Corcos. (1997). Recombining sequence recombination in normal kappa-chain-expressing B cells. The Journal of Immunology. 159(9). 4362–4366. 16 indexed citations
3.
Corcos, Daniel, Olga Dunda, Cécile Butor, et al.. (1995). Pre-B-cell development in the absence of λ5 in transgenic mice expressing a heavy-chain disease protein. Current Biology. 5(10). 1140–1148. 54 indexed citations
4.
Dunda, Olga, Rolande Ducrocq, G Trabuchet, et al.. (1992). A novel sickle cell mutation of yet another origin in Africa: the Cameroon type. Human Genetics. 89(3). 333–7. 93 indexed citations
5.
Lapouméroulie, Claudine, Olga Dunda, Rolande Ducrocq, et al.. (1992). A novel sickle gene of yet another origin in Africa: The Cameroon type. 23 indexed citations
6.
Trabuchet, G, Jacques Élion, Olga Dunda, et al.. (1991). Nucleotide sequence evidence of the unicentric origin of the ?C mutation in Africa. Human Genetics. 87(5). 597–601. 21 indexed citations
7.
Corcos, Daniel, Antonio Iglesias, Olga Dunda, & Jacques Jami. (1991). Allelic exclusion in transgenic mice expressing a heavy chain disease‐like human μ protein. European Journal of Immunology. 21(11). 2711–2716. 22 indexed citations
8.
Labie, Dominique, Olga Dunda, Catherine Dodé, et al.. (1989). Haplotypes in tribal Indians bearing the sickle gene: evidence for the unicentric origin of the beta S mutation and the unicentric origin of the tribal populations of India.. PubMed. 61(4). 479–91. 62 indexed citations
9.
Dunda, Olga, Rajagopal Krishnamoorthy, Mary E. Fabry, et al.. (1988). Atypical haplotypes linked to the βs gene in Africa are likely to be the product of recombination. American Journal of Hematology. 29(1). 60–62. 33 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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