David C. Montgomery

18 total papers · 816 total citations
14 papers, 582 citations indexed

About

David C. Montgomery is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, David C. Montgomery has authored 14 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 4 papers in Oncology and 2 papers in Cancer Research. Recurrent topics in David C. Montgomery's work include Histone Deacetylase Inhibitors Research (5 papers), Chemical Synthesis and Analysis (4 papers) and Peptidase Inhibition and Analysis (4 papers). David C. Montgomery is often cited by papers focused on Histone Deacetylase Inhibitors Research (5 papers), Chemical Synthesis and Analysis (4 papers) and Peptidase Inhibition and Analysis (4 papers). David C. Montgomery collaborates with scholars based in United States, Canada and Slovakia. David C. Montgomery's co-authors include Jordan L. Meier, Alexander W. Sorum, Peter B. Dervan, Rhushikesh A. Kulkarni, Yin‐Ming Kuo, Ian A. Blair, Nathaniel W. Snyder, Andrew J. Andrews, Laura Guasch and Marc C. Nicklaus and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

David C. Montgomery

14 papers receiving 579 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 C. Montgomery 494 75 73 68 55 14 582
Li Yang 468 0.9× 67 0.9× 68 0.9× 25 0.4× 64 1.2× 16 673
Yasuharu Urano 388 0.8× 144 1.9× 41 0.6× 45 0.7× 68 1.2× 9 625
Amit Ketkar 432 0.9× 126 1.7× 76 1.0× 20 0.3× 60 1.1× 30 600
Emmanouil Zacharioudakis 351 0.7× 47 0.6× 30 0.4× 49 0.7× 38 0.7× 14 501
Xinfeng Zhou 464 0.9× 50 0.7× 159 2.2× 33 0.5× 92 1.7× 21 629
Amanda Garrido 213 0.4× 72 1.0× 33 0.5× 70 1.0× 74 1.3× 11 510
Sarita G. Menon 454 0.9× 44 0.6× 92 1.3× 52 0.8× 91 1.7× 12 698
Kurt Hoogewijs 452 0.9× 64 0.9× 26 0.4× 30 0.4× 29 0.5× 17 603
Shankang Qi 536 1.1× 15 0.2× 98 1.3× 77 1.1× 59 1.1× 13 652
Emanuel M. Schreiber 387 0.8× 31 0.4× 40 0.5× 75 1.1× 67 1.2× 12 620

Countries citing papers authored by David C. Montgomery

Since Specialization
Citations

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

Fields of papers citing papers by David C. Montgomery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David C. Montgomery

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