Mark S. Pidkowich

9 total papers · 917 total citations
8 papers, 712 citations indexed

About

Mark S. Pidkowich is a scholar working on Molecular Biology, Plant Science and Biochemistry. According to data from OpenAlex, Mark S. Pidkowich has authored 8 papers receiving a total of 712 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Plant Science and 3 papers in Biochemistry. Recurrent topics in Mark S. Pidkowich's work include Plant Reproductive Biology (4 papers), Plant Molecular Biology Research (4 papers) and Lipid metabolism and biosynthesis (3 papers). Mark S. Pidkowich is often cited by papers focused on Plant Reproductive Biology (4 papers), Plant Molecular Biology Research (4 papers) and Lipid metabolism and biosynthesis (3 papers). Mark S. Pidkowich collaborates with scholars based in Canada and United States. Mark S. Pidkowich's co-authors include George W. Haughn, John Shanklin, Kumuda Kushalappa, Ingo Heilmann, Mohammed Bellaoui, Alon Samach, Susanne E. Kohalmi, Zora Modrušan, William L. Crosby and Jennifer E. Klenz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Plant Cell and PLANT PHYSIOLOGY.

In The Last Decade

Mark S. Pidkowich

8 papers receiving 693 citations

Author Peers

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

Author Last Decade Papers Cites
Mark S. Pidkowich 557 508 174 40 35 8 712
Frank J. van de Loo 651 1.2× 463 0.9× 295 1.7× 27 0.7× 48 1.4× 9 876
Douglas W. James 591 1.1× 589 1.2× 393 2.3× 30 0.8× 39 1.1× 17 884
Daniel Gachotte 512 0.9× 295 0.6× 121 0.7× 26 0.7× 22 0.6× 14 724
Basil S. Shorrosh 459 0.8× 296 0.6× 191 1.1× 99 2.5× 34 1.0× 18 693
Tomoko Narisawa 460 0.8× 505 1.0× 114 0.7× 26 0.7× 23 0.7× 7 760
Virginia M. Ursin 402 0.7× 397 0.8× 160 0.9× 60 1.5× 16 0.5× 12 813
Vasilios M. E. Andriotis 301 0.5× 746 1.5× 93 0.5× 36 0.9× 29 0.8× 17 881
Sylvie Wuillème 463 0.8× 692 1.4× 286 1.6× 21 0.5× 41 1.2× 11 891
Jean‐Marie Mouillon 448 0.8× 356 0.7× 46 0.3× 38 0.9× 23 0.7× 10 728
William A. Moskal 449 0.8× 427 0.8× 43 0.2× 53 1.3× 30 0.9× 8 675

Countries citing papers authored by Mark S. Pidkowich

Since Specialization
Citations

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

Fields of papers citing papers by Mark S. Pidkowich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark S. Pidkowich. 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 Mark S. Pidkowich. The network helps show where Mark S. Pidkowich may publish in the future.

Co-authorship network of co-authors of Mark S. Pidkowich

This figure shows the co-authorship network connecting the top 25 collaborators of Mark S. Pidkowich. A scholar is included among the top collaborators of Mark S. Pidkowich 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 Mark S. Pidkowich. Mark S. Pidkowich 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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