Lada Krilov

1.7k total citations · 1 hit paper
9 papers, 708 citations indexed

About

Lada Krilov is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Oncology. According to data from OpenAlex, Lada Krilov has authored 9 papers receiving a total of 708 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Oncology. Recurrent topics in Lada Krilov's work include Receptor Mechanisms and Signaling (5 papers), Diabetes Treatment and Management (4 papers) and Pancreatic and Hepatic Oncology Research (2 papers). Lada Krilov is often cited by papers focused on Receptor Mechanisms and Signaling (5 papers), Diabetes Treatment and Management (4 papers) and Pancreatic and Hepatic Oncology Research (2 papers). Lada Krilov collaborates with scholars based in United States, Switzerland and China. Lada Krilov's co-authors include Gregory A. Masters, Gary K. Schwartz, Marcia S. Brose, Jyoti D. Patel, Steven O’Day, Sylvia Adams, Bruce J. Roth, Marcos de Lima, John L. Marshall and Ethan Basch 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 691 citations

Hit Papers

Clinical Cancer Advances 2013: Annual Report on Progress ... 2013 2026 2017 2021 2013 100 200 300

Peers

Lada Krilov
Comparison fields: 5 of 93
  • Oncology 300
  • Molecular Biology 220
  • Pulmonary and Respiratory Medicine 152
  • Immunology 87
  • Cancer Research 87
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Citations per field, relative to Lada Krilov
Lada Krilov · 1×
Citations per year, relative to Lada Krilov
Lada Krilov · 1×

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

9 of 9 papers shown
# Work Indexed citations
1 148
2 88
3
Clinical Cancer Advances 2013: Annual Report on Progress Against Cancer From the American Society of Clinical Oncology breakdown →
350
4
Dual mode of glucagon receptor internalization: role of PKCalpha, GRKs and beta-arrestins.
5
5 28
6 22
7 14
8 9
9 44

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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