Liat de Vries

2.9k total citations
59 papers, 1.6k citations indexed

About

Liat de Vries is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Molecular Biology. According to data from OpenAlex, Liat de Vries has authored 59 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Endocrinology, Diabetes and Metabolism, 25 papers in Genetics and 21 papers in Molecular Biology. Recurrent topics in Liat de Vries's work include Growth Hormone and Insulin-like Growth Factors (17 papers), Diabetes Management and Research (16 papers) and Diabetes and associated disorders (15 papers). Liat de Vries is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (17 papers), Diabetes Management and Research (16 papers) and Diabetes and associated disorders (15 papers). Liat de Vries collaborates with scholars based in Israel, United States and Australia. Liat de Vries's co-authors include Moshe Phillip, Yael Lebenthal, Liora Lazar, Shlomit Shalitin, Mordechai Shohat, Arieh Kauschansky, Shlomo Bulvik, Michael S. Schwartz, Gadi Horev and Galia Gat‐Yablonski and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Cell Metabolism and PEDIATRICS.

In The Last Decade

Liat de Vries

56 papers receiving 1.6k citations

Peers

Liat de Vries
Comparison fields: 5 of 92
  • Endocrinology, Diabetes and Metabolism 673
  • Genetics 634
  • Reproductive Medicine 505
  • Molecular Biology 492
  • Surgery 352
Replace F. De Luca with:
F. De Luca Italy
Lars Hagenäs Sweden
Claire Bouvattier France
Catherine Dacou‐Voutetakis Greece
Ignacio Bergadá Argentina
Liora Lazar Israel
L Gargantini Italy
Dick Mul Netherlands
Dorothy I. Shulman United States
Bessie E. Spiliotis Greece
F. De Luca Italy View profile →
Citations per field, relative to Liat de Vries
Liat de Vries · 1×
Citations per year, relative to Liat de Vries
Liat de Vries · 1×

Countries citing papers authored by Liat de Vries

Since Specialization
Citations

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

Fields of papers citing papers by Liat de Vries

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Liat de Vries. 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 Liat de Vries. The network helps show where Liat de Vries may publish in the future.

Co-authorship network of co-authors of Liat de Vries

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 1
4 14
5 19
6 116
7 27
8
Serum Aldosterone and Graft Function in Prednisolone-Treated Renal Transplant Recipients.
1
9 19
10 14
11 8
12 26
13 6
14 25
15 52
16 51
17 56
18 5
19 3
20 7

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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