Yelena Guz

1.5k citations
15 papers · 1.3k indexed · h-index 13
Topics
Pancreatic function and diabetes (13 papers)Diabetes and associated disorders (9 papers)Diabetes Management and Research (5 papers)
Partner nations
United StatesJapan

In The Last Decade

Yelena Guz

15 papers receiving 1.2k citations

Peers

Yelena Guz
Comparison fields: 5 of 64
  • Surgery 1.1k
  • Genetics 694
  • Endocrinology, Diabetes and Metabolism 623
  • Molecular Biology 474
  • Cell Biology 60
Replace Renaud Desgraz with:
Renaud Desgraz Switzerland
M. J. Dronsfield United Kingdom
Toshiaki Tsujimura Japan
F. Schuit Belgium
Beate Ritz-Laser Switzerland
Darwin S. Dichmann United States
G T Schuppin United States
Noa Weinberg-Corem Israel
Jennifer L. Plank United States
Travis D. Webber Canada
Yelena Guz relative to Renaud Desgraz Switzerland Renaud Desgraz's profile →
Citations per field
00.5×1.6×
Renaud Desgraz · 1×
Citations per year

Countries citing papers authored by Yelena Guz

Since Specialization
Citations

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

Fields of papers citing papers by Yelena Guz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yelena Guz

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 32
2 2
3
Inhibition of connective tissue growth factor by small interfering ribonucleic acid prevents increase in extracellular matrix molecules in a rodent model of diabetic retinopathy.
29
4 25
5 24
6 37
7 11
8 93
9 47
10 205
11 40
12 51
13 191
14 471
15 13

About Yelena Guz

Yelena Guz is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Surgery, having authored 15 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (13 papers), Diabetes and associated disorders (9 papers) and Diabetes Management and Research (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (623 citations), Surgery (1.1k citations) and Genetics (694 citations). Yelena Guz has collaborated with scholars based in United States and Japan. Frequent co-authors include Gladys Teitelman, Irem Nasir, James Leonard, Chris Wright, Roland Stein, Laura W. Gamer, Marc Montminy, Mamdouh H. Kedees, Christopher V.E. Wright and L. Carroll King. Their work appears in journals such as Proceedings of the National Academy of Sciences, Development and Endocrinology.

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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