S. V. Saveliev

1.2k citations
89 papers · 895 indexed · h-index 15
Topics
Paleontology and Evolutionary Biology (14 papers)Evolution and Paleontology Studies (14 papers)Pancreatic function and diabetes (10 papers)

In The Last Decade

S. V. Saveliev

78 papers receiving 869 citations

Peers

S. V. Saveliev
Comparison fields: 5 of 117
  • Molecular Biology 386
  • Genetics 152
  • Plant Science 127
  • Paleontology 117
  • Ecology 110
Replace Martin Heß with:
Martin Heß Germany
Sally Stowe Australia
E. Schmidt United States
Joerg T. Albert United Kingdom
Johannes Streicher Austria
Susanne Bechstedt Canada
Robert J. Bryson‐Richardson Australia
Robert S. Stephenson United Kingdom
Margaret S. Saha United States
Martin Glösmann Austria
S. V. Saveliev relative to Martin Heß Germany Martin Heß's profile →
Citations per field
00.5×1.5×2.4×
Martin Heß · 1×
Citations per year

Countries citing papers authored by S. V. Saveliev

Since Specialization
Citations

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

Fields of papers citing papers by S. V. Saveliev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. V. Saveliev. 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 S. V. Saveliev. The network helps show where S. V. Saveliev may publish in the future.

Co-authorship network of co-authors of S. V. Saveliev

This figure shows the co-authorship network connecting the top 25 collaborators of S. V. Saveliev. A scholar is included among the top collaborators of S. V. Saveliev 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 S. V. Saveliev. S. V. Saveliev 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
#WorkIndexed citations
1 1
2 0
3 0
4 0
5 1
6 0
7 11
8 3
9 4
10 3
11 1
12 20
13
Effect of 12-Day Spaceflight on Brain of Thick-Toed Geckos
5
14 53
15 113
16 42
17 4
18 15
19 52
20 5

About S. V. Saveliev

S. V. Saveliev is a scholar working on Paleontology, Structural Biology and Endocrine and Autonomic Systems, having authored 89 papers that have together received 895 indexed citations. Recurring topics across this work include Paleontology and Evolutionary Biology (14 papers), Evolution and Paleontology Studies (14 papers) and Pancreatic function and diabetes (10 papers). The work is most often cited by research in Paleontology (117 citations), Endocrine and Autonomic Systems (84 citations) and Aging (12 citations). S. V. Saveliev has collaborated with scholars based in Russia, United Kingdom and Italy. Frequent co-authors include Michael M. Cox, Ross B. Inman, Walter F. Stafford, Carl Hirschie Johnson, Yao Xu, Tetsuya Mori, Andrey Postnov, Masashi Tanaka, John R. Battista and Dennis R. Harris. Their work appears in journals such as Proceedings of the National Academy of Sciences, Genes & Development and The EMBO Journal.

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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