Gabriela Cesarman

1.1k citations
10 papers · 851 indexed · h-index 7
Topics
Acute Myeloid Leukemia Research (2 papers)Central Venous Catheters and Hemodialysis (2 papers)S100 Proteins and Annexins (2 papers)

In The Last Decade

Gabriela Cesarman

10 papers receiving 834 citations

Peers

Gabriela Cesarman
Comparison fields: 5 of 68
  • Molecular Biology 449
  • Hematology 407
  • Cancer Research 233
  • Internal Medicine 224
  • Cardiology and Cardiovascular Medicine 117
Replace H. Ireland with:
H. Ireland United Kingdom
Brandi Reeves United States
C N Chesterman Australia
Shinsaku Hirosawa Japan
Y Deng Germany
Petra Goldin-Lang Germany
Annachiara Mitrugno United States
Hans-Martin Otten Netherlands
Naho Yokota Japan
C Trân-Thang Switzerland
Gabriela Cesarman relative to H. Ireland United Kingdom H. Ireland's profile →
Citations per field
00.5×5.3×
H. Ireland · 1×
Citations per year

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
#WorkIndexed citations
1 49
2 172
3 1
4 12
5 296
6
[Laparoscopic splenectomy in autoimmune thrombocytopenic purpura].
2
7
Clinical and pathological characterization of posttransplantation lymphoproliferative disorders in kidney transplant recipients: single institution experience.
3
8 287
9 15
10
Massive pulmonary hemorrhage in mixed connective tissue diseases.
14

About Gabriela Cesarman

Gabriela Cesarman is a scholar working on Internal Medicine, Transplantation and Hematology, having authored 10 papers that have together received 851 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (2 papers), Central Venous Catheters and Hemodialysis (2 papers) and S100 Proteins and Annexins (2 papers). The work is most often cited by research in Internal Medicine (224 citations), Hematology (407 citations) and Cancer Research (233 citations). Gabriela Cesarman has collaborated with scholars based in Mexico, United States and Netherlands. Frequent co-authors include Katherine A. Hajjar, Andrew T. Jacovina, Jill S. Menell, Mary Ann McLaughlin, Marcello Di Nisio, Pieter W. Kamphuisen, Isabelle Mahé, Ankie Kleinjan, Harry R. Büller and Hans-Martin Otten. Their work appears in journals such as New England Journal of Medicine, Journal of Biological Chemistry and Blood.

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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