Maria Chatzipetrou

910 citations
15 papers · 735 · h-index 9

Impact in

    • Renal Transplantation Outcomes and Treatments
  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses

Papers in

Maria Chatzipetrou

15 papers receiving 720 citations

Peers

Maria Chatzipetrou
Comparison fields: 5 of 45
  • Transplantation 115
  • Immunology 215
  • Surgery 381
  • Genetics 187
  • Endocrinology, Diabetes and Metabolism 97
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Moh Moh Lian United States
E Bouwman Netherlands
Oliver Kim United States
Nina Pilat Austria
Mark E. Rosenberg United States
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Xiao-Shun He China
Hyun Je Kim South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Maria Chatzipetrou

Since Specialization
Citations

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

Fields of papers citing papers by Maria Chatzipetrou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Maria Chatzipetrou, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Maria Chatzipetrou Line = papers co-authored together Maria Chatzipetrou links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 1999361
2 1999181
3 199962
4 200140
5 199832
6
Small bowel transplantation in children.
199719
7 199912
8 200411
9 19998
10 19993
11 19982
12 20081
13 20211
14
Factors affecting hemodynamic changes after reperfusion in liver transplantation
20041
15 19991

About Maria Chatzipetrou

Maria Chatzipetrou is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Genetics, Genetics and Transplantation, having authored 15 papers that have together received 735 indexed citations. Recurring topics across this work include Diabetes Management and Research (3 papers), Diabetes and associated disorders (3 papers), Pancreatic function and diabetes (3 papers), Organ Transplantation Techniques and Outcomes (3 papers), Hematopoietic Stem Cell Transplantation (2 papers), Organ and Tissue Transplantation Research (1 paper), Liver Disease and Transplantation (1 paper) and Urological Disorders and Treatments (1 paper). The work is most often cited by research in Transplantation (115 citations), Immunology (215 citations), Surgery (381 citations), Genetics (187 citations) and Endocrinology, Diabetes and Metabolism (97 citations). Maria Chatzipetrou has collaborated with scholars based in United States, Greece and Australia. Frequent co-authors include Camillo Ricordi, Norma S. Kenyon, Alessandra Ranuncoli, Michele Masetti, Linda C. Burkly, David M. Harlan, Allan D. Kirk, Maria Oliveira, J.L. Wagner and Mariana Berho. Their work appears in journals such as Transplantation, Diseases of the Colon & Rectum, Human Immunology, Cancer treatment and research and Diabetes.

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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