Gabriela Cesarman

1.1k total citations
10 papers, 851 citations indexed

About

Gabriela Cesarman is a scholar working on Molecular Biology, Hematology and Surgery. According to data from OpenAlex, Gabriela Cesarman has authored 10 papers receiving a total of 851 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Hematology and 2 papers in Surgery. Recurrent topics in Gabriela Cesarman's work include Acute Myeloid Leukemia Research (2 papers), Central Venous Catheters and Hemodialysis (2 papers) and S100 Proteins and Annexins (2 papers). Gabriela Cesarman is often cited by papers focused on Acute Myeloid Leukemia Research (2 papers), Central Venous Catheters and Hemodialysis (2 papers) and S100 Proteins and Annexins (2 papers). Gabriela Cesarman collaborates with scholars based in Mexico, United States and Netherlands. Gabriela Cesarman's co-authors include Katherine A. Hajjar, Jill S. Menell, Mary Ann McLaughlin, Andrew T. Jacovina, Ankie Kleinjan, Nick van Es, Isabelle Mahé, Marcello Di Nisio, Hans-Martin Otten and Rienk Nieuwland and has published in prestigious journals such as New England Journal of Medicine, Journal of Biological Chemistry and Blood.

In The Last Decade

Gabriela Cesarman

10 papers receiving 834 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gabriela Cesarman Mexico 7 449 407 233 224 117 10 851
Ida Casorelli Italy 17 330 0.7× 697 1.7× 123 0.5× 439 2.0× 279 2.4× 24 1.3k
H. Ireland United Kingdom 21 148 0.3× 677 1.7× 134 0.6× 253 1.1× 192 1.6× 47 987
Y Deng Germany 6 212 0.5× 414 1.0× 129 0.6× 204 0.9× 106 0.9× 8 747
Sandra Régina France 13 147 0.3× 256 0.6× 111 0.5× 234 1.0× 156 1.3× 24 696
Naho Yokota Japan 11 206 0.5× 275 0.7× 100 0.4× 150 0.7× 42 0.4× 28 659
Petra Goldin-Lang Germany 14 251 0.6× 161 0.4× 102 0.4× 73 0.3× 117 1.0× 23 577
Anaadriana Zakarija United States 15 157 0.3× 348 0.9× 29 0.1× 158 0.7× 96 0.8× 29 790
Annachiara Mitrugno United States 14 184 0.4× 191 0.5× 111 0.5× 112 0.5× 76 0.6× 18 688
C N Chesterman Australia 15 114 0.3× 336 0.8× 49 0.2× 83 0.4× 130 1.1× 32 775
Hans-Martin Otten Netherlands 11 129 0.3× 225 0.6× 55 0.2× 686 3.1× 355 3.0× 18 966

Countries citing papers authored by Gabriela Cesarman

Since Specialization
Citations

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

Fields of papers citing papers by Gabriela Cesarman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriela Cesarman

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriela Cesarman. A scholar is included among the top collaborators of Gabriela Cesarman 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 Gabriela Cesarman. Gabriela Cesarman 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.
Es, Nick van, Yohei Hisada, Marcello Di Nisio, et al.. (2018). Extracellular vesicles exposing tissue factor for the prediction of venous thromboembolism in patients with cancer: A prospective cohort study. Thrombosis Research. 166. 54–59. 49 indexed citations
2.
Es, Nick van, Marcello Di Nisio, Gabriela Cesarman, et al.. (2017). Comparison of risk prediction scores for venous thromboembolism in cancer patients: a prospective cohort study. Haematologica. 102(9). 1494–1501. 172 indexed citations
3.
Cesarman, Gabriela, Arunkumar B. Deora, Marı́a del Carmen Cravioto, et al.. (2005). Autoantibodies Against the Fibrinolytic Receptor, Annexin 2, in Antiphospholipid Syndrome.. Blood. 106(11). 134–134. 1 indexed citations
5.
Menell, Jill S., et al.. (1999). Annexin II and Bleeding in Acute Promyelocytic Leukemia. New England Journal of Medicine. 340(13). 994–1004. 296 indexed citations
6.
Cesarman, Gabriela, et al.. (1998). [Laparoscopic splenectomy in autoimmune thrombocytopenic purpura].. PubMed. 50(2). 127–32. 2 indexed citations
7.
Alberú, Josefina, et al.. (1996). Clinical and pathological characterization of posttransplantation lymphoproliferative disorders in kidney transplant recipients: single institution experience.. PubMed. 28(6). 3317–20. 3 indexed citations
8.
Cesarman, Gabriela, et al.. (1994). An endothelial cell receptor for plasminogen/tissue plasminogen activator (t-PA). II. Annexin II-mediated enhancement of t-PA-dependent plasminogen activation.. Journal of Biological Chemistry. 269(33). 21198–21203. 287 indexed citations
9.
Rao, Ercole, et al.. (1992). Cytogenetic Evidence for Extramedullary Blast Crisis with t(8;13)(q11;p11) in Chronic Myelomonocytic Leukemia. Acta Haematologica. 88(4). 201–203. 15 indexed citations
10.
Sánchez‐Guerrero, Jorge, Gabriela Cesarman, & D Alarcón-Segovia. (1989). Massive pulmonary hemorrhage in mixed connective tissue diseases.. PubMed. 16(8). 1132–4. 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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