Danil V. Makarov
- Pulmonary and Respiratory Medicine top 0.5%
- Surgery top 5%
- Oncology top 5%
- Rheumatology top 2%
- Molecular Biology
- Co-authors
- Alan W. PartinJonathan I. EpsteinCary P. GrossStacy LoebJames B. YuElizabeth B. HumphreysPatrick C. WalshBruce J. Trock
- Topics
- Prostate Cancer Diagnosis and Treatment (59 papers)Prostate Cancer Treatment and Research (52 papers)Health Systems, Economic Evaluations, Quality of Life (26 papers)
- Journals
- JAMAJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Danil V. Makarov
167 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Pulmonary and Respiratory Medicine 2.8k
- Surgery 921
- Oncology 800
- Rheumatology 499
- Molecular Biology 469
Countries citing papers authored by Danil V. Makarov
This map shows the geographic impact of Danil V. Makarov'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 Danil V. Makarov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danil V. Makarov more than expected).
Fields of papers citing papers by Danil V. Makarov
This network shows the impact of papers produced by Danil V. Makarov. 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 Danil V. Makarov. The network helps show where Danil V. Makarov may publish in the future.
Co-authorship network of co-authors of Danil V. Makarov
This figure shows the co-authorship network connecting the top 25 collaborators of Danil V. Makarov. A scholar is included among the top collaborators of Danil V. Makarov 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 Danil V. Makarov. Danil V. Makarov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | Time Trends and Variation in the Use of Active Surveillance for Management of Low-risk Prostate Cancer in the USbreakdown → | 70 |
| 5 | 2 | |
| 6 | 10 | |
| 7 | 2 | |
| 8 | 25 | |
| 9 | 14 | |
| 10 | 1 | |
| 11 | 10 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | Clinically Localized Prostate Cancer: AUA/ASTRO/SUO Guideline. Part I: Risk Stratification, Shared Decision Making, and Care Optionsbreakdown → | 583 |
| 15 | 11 | |
| 16 | 33 | |
| 17 | 1 | |
| 18 | 42 | |
| 19 | 61 | |
| 20 | 44 |
About Danil V. Makarov
Danil V. Makarov is a scholar working on Pulmonary and Respiratory Medicine, Urology and Oncology, having authored 172 papers that have together received 4.5k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (59 papers), Prostate Cancer Treatment and Research (52 papers) and Health Systems, Economic Evaluations, Quality of Life (26 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (2.8k citations), Urology (274 citations) and Rheumatology (499 citations). Danil V. Makarov has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Alan W. Partin, Jonathan I. Epstein, Cary P. Gross, Stacy Loeb, James B. Yu, Elizabeth B. Humphreys, Patrick C. Walsh, Bruce J. Trock, Leslie A. Mangold and Robert W. Veltri. Their work appears in journals such as JAMA, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.