Marie Csete

7.8k citations
93 papers · 5.9k indexed · 2 hit papers · h-index 37
  • Aging top 2%
  • Hepatology top 2%
    • Liver Disease and Transplantation 13
    • Muscle Physiology and Disorders 8
    • Pluripotent Stem Cells Research 6
    • CRISPR and Genetic Engineering 5
  • Genetics top 2%
    • Virus-based gene therapy research 8
    • Diabetes and associated disorders 6
    • Organ Transplantation Techniques and Outcomes 13
    • Transplantation: Methods and Outcomes 8

Marie Csete

91 papers receiving 5.7k citations

Hit Papers

Reverse Engineering of Biological Complexity8342000202620082017250500750

Peers

Marie Csete
Comparison fields: 5 of 194
  • Developmental Neuroscience 457
  • Aging 97
  • Hepatology 389
  • Molecular Biology 2.8k
  • Genetics 425
Replace Lai Guan Ng with:
Lai Guan Ng Singapore
Jamie A. Davies United Kingdom
Diether Lambrechts Belgium
Xiaoqing Zhang China
Bruce J. Aronow United States
John K. Heath United Kingdom
Daehee Hwang South Korea
Yongyong Shi China
Qiaonan Duan United States
Zichen Wang United States
Marie Csete relative to Lai Guan Ng Singapore Lai Guan Ng's profile →
Citations per field
00.5×3.6×
Lai Guan Ng · 1×
Citations per year

Countries citing papers authored by Marie Csete

Since Specialization
Citations

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

Fields of papers citing papers by Marie Csete

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Marie Csete, 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 Marie Csete Line = papers co-authored together Marie Csete links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20243
2 202312
3 201755
4 201621
5 201110
6 200843
7 20085
8 2008163
9 200742
10 200632
11 200652
12 200532
13 2005217
14 200413
15 2004332
16 200347
17 2001226
18 19977
19 199738
20 199448

About Marie Csete

Marie Csete is a scholar working on Hepatology, Aging and Transplantation, having authored 93 papers that have together received 5.9k indexed citations. Recurring topics across this work include Liver Disease and Transplantation (13 papers), Organ Transplantation Techniques and Outcomes (13 papers), Muscle Physiology and Disorders (8 papers), Transplantation: Methods and Outcomes (8 papers), Virus-based gene therapy research (8 papers), Diabetes and associated disorders (6 papers), Pluripotent Stem Cells Research (6 papers) and CRISPR and Genetic Engineering (5 papers). The work is most often cited by research in Developmental Neuroscience (457 citations), Aging (97 citations) and Hepatology (389 citations). Marie Csete has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include John C. Doyle, B Wold, Sang‐Hun Lee, Ronald W. Busuttil, Nadine Kabbani, Ron McKay, Lorenz Studer, Abraham Shaked, William P. Melega and Andrew K. Groves. Their work appears in journals such as Transplantation, Anesthesia & Analgesia, Stem Cells Translational Medicine, Anesthesiology and Free Radical Biology and Medicine.

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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