Cristina Iobagiu

460 total citations
10 papers, 375 citations indexed

About

Cristina Iobagiu is a scholar working on Immunology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Cristina Iobagiu has authored 10 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 2 papers in Molecular Biology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Cristina Iobagiu's work include Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (3 papers) and Estrogen and related hormone effects (2 papers). Cristina Iobagiu is often cited by papers focused on Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (3 papers) and Estrogen and related hormone effects (2 papers). Cristina Iobagiu collaborates with scholars based in France, Romania and Hungary. Cristina Iobagiu's co-authors include Léonor Nogueira, Guy Serre, Mireille Sebbag, C Clavel, Christian Vincent, Lætitia Laurent, Claude Lambert, Christian Genin, Frédéric Gruy and Ferenc Hudecz and has published in prestigious journals such as Breast Cancer Research and Treatment, Journal of Autoimmunity and BMC Pregnancy and Childbirth.

In The Last Decade

Cristina Iobagiu

10 papers receiving 369 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cristina Iobagiu France 8 177 141 131 87 49 10 375
Hanane El Bannoudi United States 11 165 0.9× 190 1.3× 235 1.8× 146 1.7× 41 0.8× 18 463
Jennifer Pieper Sweden 8 199 1.1× 116 0.8× 298 2.3× 128 1.5× 83 1.7× 10 551
Sylvie Pollmann Norway 9 139 0.8× 104 0.7× 78 0.6× 79 0.9× 103 2.1× 10 297
Walther J van Venrooij Netherlands 9 199 1.1× 122 0.9× 128 1.0× 145 1.7× 38 0.8× 10 428
A Fujisaku Japan 10 190 1.1× 93 0.7× 234 1.8× 83 1.0× 43 0.9× 18 421
Gábor Hutás United States 9 74 0.4× 63 0.4× 164 1.3× 66 0.8× 39 0.8× 9 349
Siska Wijngaarden Netherlands 7 93 0.5× 119 0.8× 185 1.4× 73 0.8× 37 0.8× 10 296
Sanki Kodera Japan 7 99 0.6× 63 0.4× 235 1.8× 52 0.6× 26 0.5× 10 307
Benjamin F. Bruner United States 9 207 1.2× 68 0.5× 162 1.2× 38 0.4× 59 1.2× 11 314
L. Matarán Spain 13 252 1.4× 120 0.9× 272 2.1× 142 1.6× 62 1.3× 17 551

Countries citing papers authored by Cristina Iobagiu

Since Specialization
Citations

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

Fields of papers citing papers by Cristina Iobagiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cristina Iobagiu

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

All Works

10 of 10 papers shown
1.
Tholance, Yannick, et al.. (2024). Development of a new staining protocol for the Kleihauer–Betke test to facilitate the reading of difficult cases. BMC Pregnancy and Childbirth. 24(1). 89–89. 1 indexed citations
2.
Berger, Anne‐Emmanuelle, et al.. (2016). New tools in cytometry. Morphologie. 100(331). 199–209. 11 indexed citations
3.
Iobagiu, Cristina, et al.. (2015). Loss of heterozygosity in tumor tissue in hormonal receptor genes is associated with poor prognostic criteria in breast cancer. Cancer Genetics. 208(4). 135–142. 5 indexed citations
4.
Iobagiu, Cristina, Anna Magyar, Léonor Nogueira, et al.. (2011). The antigen specificity of the rheumatoid arthritis-associated ACPA directed to citrullinated fibrin is very closely restricted. Journal of Autoimmunity. 37(4). 263–272. 38 indexed citations
5.
Gruy, Frédéric, et al.. (2009). Variability of CD3 membrane expression and T cell activation capacity. Cytometry Part B Clinical Cytometry. 78B(2). 105–114. 28 indexed citations
7.
Iobagiu, Cristina, et al.. (2005). Microsatellite profile in hormonal receptor genes associated with breast cancer. Breast Cancer Research and Treatment. 95(2). 153–159. 23 indexed citations
8.
Lambert, Claude, Cristina Iobagiu, & Christian Genin. (2005). Enumeration of peripheral lymphocyte subsets using 6 vs. 4 color staining: A clinical evaluation of a new flowcytometer. Cytometry Part B Clinical Cytometry. 70B(1). 29–38. 20 indexed citations
9.
Iobagiu, Cristina, et al.. (2005). Significance of Unconventional Peripheral CD4+CD8dim T Cell Subsets. Journal of Clinical Immunology. 25(5). 418–27. 9 indexed citations
10.
Lambert, Claude, Cristina Iobagiu, & Christian Genin. (2005). Persistent oligoclonal CD4dimCD8+T cells in peripheral blood. Cytometry Part B Clinical Cytometry. 66B(1). 10–17. 7 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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