Thais M. Sielecki

47 total papers · 1.5k total citations
26 papers, 1.1k citations indexed

About

Thais M. Sielecki is a scholar working on Organic Chemistry, Surgery and Molecular Biology. According to data from OpenAlex, Thais M. Sielecki has authored 26 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Organic Chemistry, 6 papers in Surgery and 6 papers in Molecular Biology. Recurrent topics in Thais M. Sielecki's work include Macrophage Migration Inhibitory Factor (5 papers), Antiplatelet Therapy and Cardiovascular Diseases (5 papers) and Nuclear Receptors and Signaling (4 papers). Thais M. Sielecki is often cited by papers focused on Macrophage Migration Inhibitory Factor (5 papers), Antiplatelet Therapy and Cardiovascular Diseases (5 papers) and Nuclear Receptors and Signaling (4 papers). Thais M. Sielecki collaborates with scholars based in United States, Germany and Poland. Thais M. Sielecki's co-authors include Pamela A. Benfield, George L. Trainor, John F. Boylan, A. I. MEYERS, John A. Taylor, Shaker A. Mousa, Ruth R. Wexler, John Wityak, Scott J. Weir and Benjamin L. Woolbright and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Gastroenterology.

In The Last Decade

Thais M. Sielecki

25 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Thais M. Sielecki 420 378 280 200 104 26 1.1k
Uma Yasothan 234 0.6× 605 1.6× 430 1.5× 286 1.4× 80 0.8× 30 1.4k
Laurie Churchill 260 0.6× 685 1.8× 263 0.9× 156 0.8× 146 1.4× 20 1.3k
Sonia Lamontagne 313 0.7× 526 1.4× 191 0.7× 86 0.4× 96 0.9× 22 1.3k
Paramita Ray 152 0.4× 342 0.9× 415 1.5× 288 1.4× 59 0.6× 36 1.1k
John Wityak 581 1.4× 552 1.5× 179 0.6× 89 0.4× 142 1.4× 46 1.4k
John L. Herrmann 186 0.4× 581 1.5× 259 0.9× 95 0.5× 200 1.9× 34 1.2k
Geoffrey Lawton 274 0.7× 904 2.4× 166 0.6× 149 0.7× 176 1.7× 20 1.4k
Christopher H. Hill 353 0.8× 960 2.5× 152 0.5× 152 0.8× 177 1.7× 22 1.5k
Vered Klinghofer 373 0.9× 580 1.5× 338 1.2× 99 0.5× 60 0.6× 27 1.3k
Bertrand Leblond 257 0.6× 663 1.8× 140 0.5× 101 0.5× 60 0.6× 29 1.2k

Countries citing papers authored by Thais M. Sielecki

Since Specialization
Citations

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

Fields of papers citing papers by Thais M. Sielecki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thais M. Sielecki. 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 Thais M. Sielecki. The network helps show where Thais M. Sielecki may publish in the future.

Co-authorship network of co-authors of Thais M. Sielecki

This figure shows the co-authorship network connecting the top 25 collaborators of Thais M. Sielecki. A scholar is included among the top collaborators of Thais M. Sielecki 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 Thais M. Sielecki. Thais M. Sielecki 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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