Tatyana Panchenko

856 citations
9 papers · 607 indexed · h-index 6
Topics
Genomics and Chromatin Dynamics (3 papers)Monoclonal and Polyclonal Antibodies Research (2 papers)Protein Degradation and Inhibitors (2 papers)
Journals
NatureSHILAP Revista de lepidopterologíaMolecular Cell

In The Last Decade

Tatyana Panchenko

7 papers receiving 601 citations

Peers

Tatyana Panchenko
Comparison fields: 5 of 60
  • Molecular Biology 563
  • Oncology 63
  • Geriatrics and Gerontology 36
  • Plant Science 31
  • Organic Chemistry 29
Replace Haipeng Guan with:
Haipeng Guan China
Stephen A. Shinsky United States
Forest H. Andrews United States
Pierrick Craveur France
Nicolas Stankovic‐Valentin Germany
Runjun D. Kumar United States
Michelle Gonzales-Cope United States
Fabrizio Martino United Kingdom
Santosh Hodawadekar United States
Carmen Aguilar‐Gurrieri Spain
Tatyana Panchenko relative to Haipeng Guan China Haipeng Guan's profile →
Citations per field
00.5×1.5×2.1×
Haipeng Guan · 1×
Citations per year

Countries citing papers authored by Tatyana Panchenko

Since Specialization
Citations

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

Fields of papers citing papers by Tatyana Panchenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tatyana Panchenko

This figure shows the co-authorship network connecting the top 25 collaborators of Tatyana Panchenko. A scholar is included among the top collaborators of Tatyana Panchenko 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 Tatyana Panchenko. Tatyana Panchenko 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
#WorkIndexed citations
1 7
2 12
3 1
4
[TREATMENT OF SECRETORY OTITIS MEDIA IN CHILDREN, DEPENDING ON THE STAGE OF THE PROCESS AND ON THE BACKGROUND OF THE PATHOLOGICAL CONDITIONS].
1
5 0
6 136
7 144
8 275
9 31

About Tatyana Panchenko

Tatyana Panchenko is a scholar working on Modeling and Simulation, Emergency Medical Services and Radiology, Nuclear Medicine and Imaging, having authored 9 papers that have together received 607 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Protein Degradation and Inhibitors (2 papers). The work is most often cited by research in Geriatrics and Gerontology (36 citations), Molecular Biology (563 citations) and Aging (5 citations). Tatyana Panchenko has collaborated with scholars based in United States, China and Denmark. Frequent co-authors include C. David Allis, Haitao Li, Yingming Zhao, Robert G. Roeder, Yuanyuan Li, Benjamin R. Sabari, Zhanyun Tang, Liling Wan, Xiaobing Shi and Dan Zhao. Their work appears in journals such as Nature, SHILAP Revista de lepidopterología and Molecular Cell.

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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