David de Semir

165 total papers · 1.4k total citations
31 papers, 913 citations indexed

About

David de Semir is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, David de Semir has authored 31 papers receiving a total of 913 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 9 papers in Oncology and 9 papers in Cancer Research. Recurrent topics in David de Semir's work include RNA Interference and Gene Delivery (8 papers), MicroRNA in disease regulation (6 papers) and Cancer-related molecular mechanisms research (5 papers). David de Semir is often cited by papers focused on RNA Interference and Gene Delivery (8 papers), MicroRNA in disease regulation (6 papers) and Cancer-related molecular mechanisms research (5 papers). David de Semir collaborates with scholars based in United States, Spain and Germany. David de Semir's co-authors include Mehdi Nosrati, Mohammed Kashani–Sabet, Altaf A. Dar, Vladimir Bezrookove, Shahana Majid, Josep M. Aran, Dieter C. Gruenert, Rosalie Maurisse, James R. Miller and Alireza Abdolmohammadi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and JNCI Journal of the National Cancer Institute.

In The Last Decade

David de Semir

29 papers receiving 897 citations

Author Peers

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

Author Last Decade Papers Cites
David de Semir 735 346 165 116 80 31 913
Guangwu Huang 596 0.8× 309 0.9× 237 1.4× 78 0.7× 72 0.9× 43 917
Wenxian Hu 647 0.9× 329 1.0× 199 1.2× 147 1.3× 80 1.0× 30 925
Ronan Chaligné 639 0.9× 337 1.0× 190 1.2× 151 1.3× 63 0.8× 27 938
Liutao Du 831 1.1× 316 0.9× 147 0.9× 85 0.7× 85 1.1× 22 1.1k
Leslie C. Sutherland 1.0k 1.4× 346 1.0× 229 1.4× 96 0.8× 72 0.9× 36 1.2k
Peiyong Guan 555 0.8× 306 0.9× 165 1.0× 100 0.9× 102 1.3× 25 890
Changxian Shen 681 0.9× 288 0.8× 295 1.8× 114 1.0× 165 2.1× 38 1.2k
Alice H. Berger 712 1.0× 216 0.6× 237 1.4× 122 1.1× 141 1.8× 23 1.0k
Nurten Yigit 572 0.8× 280 0.8× 263 1.6× 100 0.9× 53 0.7× 29 858
Marzena Anna Lewandowska 687 0.9× 337 1.0× 181 1.1× 109 0.9× 240 3.0× 44 1.2k

Countries citing papers authored by David de Semir

Since Specialization
Citations

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

Fields of papers citing papers by David de Semir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David de Semir. 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 David de Semir. The network helps show where David de Semir may publish in the future.

Co-authorship network of co-authors of David de Semir

This figure shows the co-authorship network connecting the top 25 collaborators of David de Semir. A scholar is included among the top collaborators of David de Semir 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 David de Semir. David de Semir 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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