Lada Krilov

14 total papers · 1.7k total citations
9 papers, 705 citations indexed

About

Lada Krilov is a scholar working on Molecular Biology, Oncology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Lada Krilov has authored 9 papers receiving a total of 705 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Lada Krilov's work include Receptor Mechanisms and Signaling (5 papers), Diabetes Treatment and Management (4 papers) and Cancer Genomics and Diagnostics (3 papers). Lada Krilov is often cited by papers focused on Receptor Mechanisms and Signaling (5 papers), Diabetes Treatment and Management (4 papers) and Cancer Genomics and Diagnostics (3 papers). Lada Krilov collaborates with scholars based in United States, France and Switzerland. Lada Krilov's co-authors include Gregory A. Masters, Gary K. Schwartz, Steven O’Day, Marcia S. Brose, Jyoti D. Patel, Ethan Basch, Sylvia Adams, Mark R. Gilbert, John L. Marshall and William L. Carroll and has published in prestigious journals such as Journal of Clinical Oncology, Clinical Infectious Diseases and Endocrinology.

In The Last Decade

Lada Krilov

9 papers receiving 688 citations

Author Peers

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

Author Last Decade Papers Cites
Lada Krilov 299 219 152 88 87 9 705
Anna Compagnoni 349 1.2× 180 0.8× 207 1.4× 71 0.8× 103 1.2× 19 835
So Yeon Kim 271 0.9× 244 1.1× 265 1.7× 59 0.7× 131 1.5× 21 744
Edmar Elcarte 247 0.8× 175 0.8× 102 0.7× 50 0.6× 89 1.0× 23 720
Zhijiao Qiao 170 0.6× 263 1.2× 78 0.5× 47 0.5× 97 1.1× 9 784
Sachin Shah 287 1.0× 211 1.0× 173 1.1× 68 0.8× 57 0.7× 25 736
Denis Talbot 248 0.8× 294 1.3× 119 0.8× 123 1.4× 171 2.0× 11 768
Syed A. Ahmed 302 1.0× 223 1.0× 105 0.7× 72 0.8× 149 1.7× 16 637
Evelyn Rubin 487 1.6× 422 1.9× 100 0.7× 71 0.8× 170 2.0× 8 856
Milly E. de Jonge 281 0.9× 218 1.0× 98 0.6× 44 0.5× 54 0.6× 17 866
Amal Ibrahim 253 0.8× 196 0.9× 78 0.5× 54 0.6× 146 1.7× 11 731

Countries citing papers authored by Lada Krilov

Since Specialization
Citations

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

Fields of papers citing papers by Lada Krilov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lada Krilov

This figure shows the co-authorship network connecting the top 25 collaborators of Lada Krilov. A scholar is included among the top collaborators of Lada Krilov 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 Lada Krilov. Lada Krilov 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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