Leonid Kagan

78 papers receiving 1.6k citations

Peers

Leonid Kagan
Comparison fields: 5 of 129
  • Pharmaceutical Science 383
  • Dermatology 91
  • Pharmacology 82
  • Biomaterials 112
  • Oncology 202
Replace Junzo Nakamura with:
Junzo Nakamura Japan
Chandraiah Godugu India
Vivek Dhawan India
Guoqiang Zhang China
Koyo Nishida Japan
Seishi Tsuchiya Japan
Reason Wilken United States
John A. Turton United Kingdom
Ronald T. Borchardt United States
Masataka Ichikawa Japan
Leonid Kagan relative to Junzo Nakamura Japan Junzo Nakamura's profile →
Citations per field
00.5×10×15×20×23×
Junzo Nakamura · 1×
Citations per year

Countries citing papers authored by Leonid Kagan

Since Specialization
Citations

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

Fields of papers citing papers by Leonid Kagan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Leonid Kagan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Leonid Kagan Line = papers co-authored together Leonid Kagan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019173
2 201185
3 200777
4 201770
5 201469
6 201068
7 200664
8 201048
9 200848
10 200848
11 200746
12 201344
13 201040
14 201240
15 201939
16 201136
17 201934
18 201933
19 201031
20 201230

About Leonid Kagan

Leonid Kagan is a scholar working on Molecular Biology, Oncology, Pharmacology, Infectious Diseases and Surgery, having authored 89 papers that have together received 1.6k indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (10 papers), Drug Transport and Resistance Mechanisms (8 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Pharmacogenetics and Drug Metabolism (5 papers), Vitamin D Research Studies (5 papers), Nausea and vomiting management (5 papers), Cancer Treatment and Pharmacology (5 papers) and Tuberculosis Research and Epidemiology (4 papers). The work is most often cited by research in Pharmaceutical Science (383 citations), Dermatology (91 citations), Pharmacology (82 citations), Biomaterials (112 citations) and Oncology (202 citations). Leonid Kagan has collaborated with scholars based in United States, Poland and Israel. Frequent co-authors include Donald E. Mager, Amnon Hoffman, Jong Bong Lee, Pavel Gershkovich, Akmal Hidayat Bin Sabri, Joel Segal, David J. Scurr, Maria Marlow, Ajay K. Banga and Michael R. Turner. Their work appears in journals such as Pharmaceutical Research, Journal of Pharmaceutical Sciences, Drug Metabolism and Disposition, European Journal of Pharmaceutics and Biopharmaceutics and Journal of Pharmaceutical and Biomedical Analysis.

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.

Explore authors with similar magnitude of impact