Sima Pazouki

16 total papers · 443 total citations
15 papers, 379 citations indexed

About

Sima Pazouki is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Sima Pazouki has authored 15 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Oncology. Recurrent topics in Sima Pazouki's work include Angiogenesis and VEGF in Cancer (4 papers), Cancer Diagnosis and Treatment (3 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Sima Pazouki is often cited by papers focused on Angiogenesis and VEGF in Cancer (4 papers), Cancer Diagnosis and Treatment (3 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Sima Pazouki collaborates with scholars based in United Kingdom, United States and Iran. Sima Pazouki's co-authors include D. M. Chisholm, Ana M. Schor, G.R. Ogden, Seth L. Schor, Michael Farquharson, Lata M. Chandrachud, Michael R. Green, Michaelina Macluskey, Neil Pendleton and Robert Hume and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, British Journal of Cancer and Journal of Chromatography A.

In The Last Decade

Sima Pazouki

15 papers receiving 361 citations

Author Peers

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

Author Last Decade Papers Cites
Sima Pazouki 205 97 82 55 51 15 379
E Vairaktaris 146 0.7× 111 1.1× 103 1.3× 58 1.1× 94 1.8× 17 412
Hidetaka Arita 168 0.8× 124 1.3× 170 2.1× 38 0.7× 84 1.6× 19 396
Marijke Buijze 228 1.1× 97 1.0× 188 2.3× 53 1.0× 152 3.0× 14 425
Yasuyuki Maruse 123 0.6× 84 0.9× 204 2.5× 20 0.4× 40 0.8× 16 388
Akihisa Kiyota 161 0.8× 48 0.5× 242 3.0× 26 0.5× 67 1.3× 11 357
Pankaj Pande 143 0.7× 96 1.0× 191 2.3× 25 0.5× 71 1.4× 20 355
François Waridel 162 0.8× 68 0.7× 212 2.6× 20 0.4× 63 1.2× 18 342
N.G. Shah 124 0.6× 48 0.5× 150 1.8× 45 0.8× 52 1.0× 21 393
Dorothy L. Uhlman 177 0.9× 102 1.1× 140 1.7× 11 0.2× 56 1.1× 10 338
Kenichiro Uchida 127 0.6× 146 1.5× 139 1.7× 28 0.5× 69 1.4× 21 363

Countries citing papers authored by Sima Pazouki

Since Specialization
Citations

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

Fields of papers citing papers by Sima Pazouki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sima Pazouki

This figure shows the co-authorship network connecting the top 25 collaborators of Sima Pazouki. A scholar is included among the top collaborators of Sima Pazouki 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 Sima Pazouki. Sima Pazouki 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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