Ilia G. Halatchev

11 total papers · 970 total citations
9 papers, 771 citations indexed

About

Ilia G. Halatchev is a scholar working on Endocrine and Autonomic Systems, Nutrition and Dietetics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Ilia G. Halatchev has authored 9 papers receiving a total of 771 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Endocrine and Autonomic Systems, 5 papers in Nutrition and Dietetics and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Ilia G. Halatchev's work include Regulation of Appetite and Obesity (5 papers), Biochemical Analysis and Sensing Techniques (5 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). Ilia G. Halatchev is often cited by papers focused on Regulation of Appetite and Obesity (5 papers), Biochemical Analysis and Sensing Techniques (5 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). Ilia G. Halatchev collaborates with scholars based in United States. Ilia G. Halatchev's co-authors include Roger D. Cone, Kate L. J. Ellacott, Wei Fan, Kanji Takahashi, Jiafu Ou, Jay R. McDonald, Martin L. Hibberd, David O’Donnell, Jeffrey I. Gordon and Sumitra Balasubramanian and has published in prestigious journals such as Nature Neuroscience, Cell Metabolism and Endocrinology.

In The Last Decade

Ilia G. Halatchev

9 papers receiving 755 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ilia G. Halatchev 645 472 286 170 65 9 771
Claire A. Matson 557 0.9× 333 0.7× 285 1.0× 167 1.0× 50 0.8× 7 655
Akio Inui 545 0.8× 291 0.6× 312 1.1× 229 1.3× 44 0.7× 8 793
Jennifer S. Steger 587 0.9× 270 0.6× 312 1.1× 128 0.8× 157 2.4× 11 787
Luke K. Burke 497 0.8× 226 0.5× 286 1.0× 142 0.8× 96 1.5× 14 814
Curtis B. Phifer 454 0.7× 283 0.6× 199 0.7× 138 0.8× 103 1.6× 12 698
Amy K. Sutton 577 0.9× 174 0.4× 215 0.8× 125 0.7× 122 1.9× 10 762
Jamie S. Ahn 477 0.7× 263 0.6× 244 0.9× 154 0.9× 157 2.4× 7 837
Y. C. Loraine Tung 419 0.6× 226 0.5× 299 1.0× 129 0.8× 60 0.9× 13 841
Jennifer Schurdak 388 0.6× 222 0.5× 222 0.8× 167 1.0× 70 1.1× 17 632
E. Edelstein 689 1.1× 402 0.9× 325 1.1× 88 0.5× 76 1.2× 2 866

Countries citing papers authored by Ilia G. Halatchev

Since Specialization
Citations

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

Fields of papers citing papers by Ilia G. Halatchev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ilia G. Halatchev. 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 Ilia G. Halatchev. The network helps show where Ilia G. Halatchev may publish in the future.

Co-authorship network of co-authors of Ilia G. Halatchev

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

All Works

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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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