Alexandra Panov

1.1k total citations
2 papers, 2 citations indexed

About

Alexandra Panov is a scholar working on Epidemiology, Molecular Biology and General Health Professions. According to data from OpenAlex, Alexandra Panov has authored 2 papers receiving a total of 2 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Epidemiology, 1 paper in Molecular Biology and 1 paper in General Health Professions. Recurrent topics in Alexandra Panov's work include Autophagy in Disease and Therapy (1 paper), Ubiquitin and proteasome pathways (1 paper) and Hepatitis C virus research (1 paper). Alexandra Panov is often cited by papers focused on Autophagy in Disease and Therapy (1 paper), Ubiquitin and proteasome pathways (1 paper) and Hepatitis C virus research (1 paper). Alexandra Panov collaborates with scholars based in United States and Germany. Alexandra Panov's co-authors include Ron R. Kopito, Wolfgang Baumeister, Harvey W. Kaufman, William A. Meyer, Kelsey Hickey, Arda Mizrak, Justin K. Niles, J. Wade Harper and Rubén Fernández‐Busnadiego and has published in prestigious journals such as Proceedings of the National Academy of Sciences and Population Health Management.

In The Last Decade

Alexandra Panov

2 papers receiving 2 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Alexandra Panov United States 2 1 1 1 1 1 2 2
A. Schittenhelm Germany 2 3 3
E. CUNNINGHAM United Kingdom 2 2 2
N. Wendler Italy 2 2 2
Madara Brice United Kingdom 2 2 2
Sara A. Väyrynen Finland 2 2 5
S. Oh South Korea 2 1 1.0× 2 2
Daiki Watarai Japan 2 2 2
Guangsheng Pei China 2 2 3
Evangeline Watson United States 1 2 2
Marta Ribes Spain 2 1 1.0× 4 2

Countries citing papers authored by Alexandra Panov

Since Specialization
Citations

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

Fields of papers citing papers by Alexandra Panov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexandra Panov

This figure shows the co-authorship network connecting the top 25 collaborators of Alexandra Panov. A scholar is included among the top collaborators of Alexandra Panov 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 Alexandra Panov. Alexandra Panov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

2 of 2 papers shown
1.
Hickey, Kelsey, Alexandra Panov, Arda Mizrak, et al.. (2024). Temporal control of acute protein aggregate turnover by UBE3C and NRF1-dependent proteasomal pathways. Proceedings of the National Academy of Sciences. 121(50). e2417390121–e2417390121. 1 indexed citations
2.
Niles, Justin K., et al.. (2024). Social Determinants of Hepatitis C Virus Infection in the United States, 2016–2021. Population Health Management. 27(4). 284–290. 1 indexed citations

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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