Kaweh Pars

18 total papers · 603 total citations
14 papers, 403 citations indexed

About

Kaweh Pars is a scholar working on Molecular Biology, Plant Science and Infectious Diseases. According to data from OpenAlex, Kaweh Pars has authored 14 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Plant Science and 2 papers in Infectious Diseases. Recurrent topics in Kaweh Pars's work include Polyomavirus and related diseases (2 papers), CRISPR and Genetic Engineering (2 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). Kaweh Pars is often cited by papers focused on Polyomavirus and related diseases (2 papers), CRISPR and Genetic Engineering (2 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). Kaweh Pars collaborates with scholars based in Germany, United States and Slovakia. Kaweh Pars's co-authors include Martin Stangel, Thomas Skripuletz, Philipp Schwenkenbecher, Refik Pul, Ulrich Wurster, Kurt‐Wolfram Sühs, Regine Heilbronn, Toni Cathomen, Corinna Trebst and Morgan L. Maeder and has published in prestigious journals such as Nucleic Acids Research, International Journal of Molecular Sciences and Psychoneuroendocrinology.

In The Last Decade

Kaweh Pars

14 papers receiving 397 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Kaweh Pars	143	73	67	65	63	14	403
U Gruber‐Sedlmayr	147 1.0×	45 0.6×	34 0.5×	36 0.6×	38 0.6×	17	384
Samuel H. Tucker	127 0.9×	41 0.6×	53 0.8×	58 0.9×	83 1.3×	16	415
Guillermo A. de León	148 1.0×	46 0.6×	13 0.2×	38 0.6×	52 0.8×	24	427
S. Goffette	164 1.1×	78 1.1×	21 0.3×	24 0.4×	48 0.8×	15	427
Jan Hoogstraten	108 0.8×	41 0.6×	23 0.3×	20 0.3×	17 0.3×	22	361
Jill C. Rau	65 0.5×	61 0.8×	26 0.4×	15 0.2×	24 0.4×	14	435
Anas Rashid	112 0.8×	172 2.4×	93 1.4×	96 1.5×	9 0.1×	29	407
S Pelc	78 0.5×	41 0.6×	100 1.5×	35 0.5×	8 0.1×	33	362
Ryuichi Yamasaki	89 0.6×	58 0.8×	115 1.7×	22 0.3×	6 0.1×	19	442
Martine Christe	163 1.1×	24 0.3×	74 1.1×	33 0.5×	58 0.9×	12	383

Countries citing papers authored by Kaweh Pars

Since Specialization

Citations

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

Fields of papers citing papers by Kaweh Pars

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaweh Pars

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

All Works

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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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