Martin D. Burke

10.8k total citations · 5 hit papers
88 papers, 8.2k citations indexed

About

Martin D. Burke is a scholar working on Organic Chemistry, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Martin D. Burke has authored 88 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Organic Chemistry, 41 papers in Molecular Biology and 13 papers in Biomedical Engineering. Recurrent topics in Martin D. Burke's work include Chemical Synthesis and Analysis (23 papers), Organoboron and organosilicon chemistry (21 papers) and Catalytic Cross-Coupling Reactions (19 papers). Martin D. Burke is often cited by papers focused on Chemical Synthesis and Analysis (23 papers), Organoboron and organosilicon chemistry (21 papers) and Catalytic Cross-Coupling Reactions (19 papers). Martin D. Burke collaborates with scholars based in United States, Canada and South Korea. Martin D. Burke's co-authors include Stuart L. Schreiber, Eric P. Gillis, Eric M. Woerly, Junqi Li, Brice E. Uno, Suk Joong Lee, Kaitlyn Gray, Graham R. Dick, Daniel S. Palacios and Thomas M. Anderson and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Martin D. Burke

87 papers receiving 8.0k citations

Hit Papers

A Planning Strategy for Diversity‐Oriented Synthesis 2003 2026 2010 2018 2003 2009 2012 2015 2014 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Martin D. Burke United States 40 5.5k 2.6k 730 717 631 88 8.2k
Chunquan Sheng China 52 4.1k 0.8× 4.5k 1.7× 843 1.2× 486 0.7× 1.1k 1.8× 263 9.3k
Fen‐Er Chen China 37 4.7k 0.8× 2.1k 0.8× 334 0.5× 502 0.7× 1.5k 2.3× 499 7.5k
Thavendran Govender South Africa 36 2.3k 0.4× 2.0k 0.8× 406 0.6× 329 0.5× 743 1.2× 270 5.2k
Paul J. Hergenrother United States 51 2.8k 0.5× 6.0k 2.3× 943 1.3× 451 0.6× 537 0.9× 199 10.1k
Cheng‐He Zhou China 57 7.7k 1.4× 5.0k 1.9× 1.0k 1.4× 387 0.5× 722 1.1× 217 10.3k
Vinod K. Tiwari India 41 4.0k 0.7× 3.1k 1.2× 417 0.6× 311 0.4× 405 0.6× 233 6.8k
Junbiao Chang China 45 4.6k 0.8× 3.2k 1.2× 226 0.3× 1.4k 1.9× 464 0.7× 389 10.4k
Michael J. Waring United Kingdom 56 4.1k 0.7× 9.9k 3.8× 771 1.1× 773 1.1× 480 0.8× 263 13.9k
Stanley M. Roberts United Kingdom 43 4.4k 0.8× 3.6k 1.4× 401 0.5× 552 0.8× 393 0.6× 380 7.3k
Hua‐Li Qin China 53 5.8k 1.0× 2.1k 0.8× 544 0.7× 343 0.5× 181 0.3× 189 7.5k

Countries citing papers authored by Martin D. Burke

Since Specialization
Citations

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

Fields of papers citing papers by Martin D. Burke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin D. Burke. 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 Martin D. Burke. The network helps show where Martin D. Burke may publish in the future.

Co-authorship network of co-authors of Martin D. Burke

This figure shows the co-authorship network connecting the top 25 collaborators of Martin D. Burke. A scholar is included among the top collaborators of Martin D. Burke 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 Martin D. Burke. Martin D. Burke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Tyrikos‐Ergas, Theodore, Chieh‐Kai Chan, Junyi Qiu, et al.. (2025). Automated Iterative N─C and C─C Bond Formation. Angewandte Chemie International Edition. 64(33). e202509974–e202509974. 1 indexed citations
2.
Burke, Martin D., et al.. (2025). Catalytic allylation of native hexoses and pentoses in water with indium. Nature. 640(8057). 94–99. 3 indexed citations
3.
Chao, Jianhua, Kelsie J. Green, Eun‐Kyung Choi, et al.. (2024). Minimizing higher-order aggregation maximizes iron mobilization by small molecules. Nature Chemical Biology. 20(10). 1282–1293. 2 indexed citations
4.
Klucznik, Tomasz, Sebastian Baś, Barbara Mikulak-Klucznik, et al.. (2023). Computational prediction of complex cationic rearrangement outcomes. Nature. 625(7995). 508–515. 9 indexed citations
5.
Pitman, Janet L., Arthur J. Morris, S. C. Grice, et al.. (2023). Validation of a molecular assay to detect SARS-CoV-2 in saliva. PubMed. 134(1547). 34–47. 1 indexed citations
6.
Li, Songsong, Nicholas H. Angello, Jialing Li, et al.. (2022). Using automated synthesis to understand the role of side chains on molecular charge transport. Nature Communications. 13(1). 2102–2102. 28 indexed citations
7.
Choi, Eun‐Kyung, Kelsie J. Green, JuOae Chang, et al.. (2022). A small molecule redistributes iron in ferroportin-deficient mice and patient-derived primary macrophages. Proceedings of the National Academy of Sciences. 119(26). e2121400119–e2121400119. 11 indexed citations
8.
Blair, Daniel J., Melanie Trobe, Richard L. Hansen, et al.. (2022). Automated iterative Csp3–C bond formation. Nature. 604(7904). 92–97. 93 indexed citations
9.
Li, Songsong, Hao Yu, Jialing Li, et al.. (2021). Transition between Nonresonant and Resonant Charge Transport in Molecular Junctions. Nano Letters. 21(19). 8340–8347. 22 indexed citations
10.
Greenwood, Alexander I., Evgeny Nimerovsky, Grant S. Hisao, et al.. (2021). Fungicidal amphotericin B sponges are assemblies of staggered asymmetric homodimers encasing large void volumes. Nature Structural & Molecular Biology. 28(12). 972–981. 30 indexed citations
11.
Blair, Daniel J. & Martin D. Burke. (2020). A Computer Conquers Tactical Combinations. Chem. 6(1). 12–13. 1 indexed citations
12.
Burke, Martin D., et al.. (2019). Modular Syntheses of Phenanthroindolizidine Natural Products. Organic Letters. 21(11). 4201–4204. 19 indexed citations
13.
Lehmann, Jonathan W., Daniel J. Blair, & Martin D. Burke. (2018). Erratum: Towards the generalized iterative synthesis of small molecules. Nature Reviews Chemistry. 2(3). 3 indexed citations
14.
Trobe, Melanie & Martin D. Burke. (2018). The Molecular Industrial Revolution: Automated Synthesis of Small Molecules. Angewandte Chemie International Edition. 57(16). 4192–4214. 153 indexed citations
15.
Davis, Stephen, Benjamin Vincent, Matthew M. Endo, et al.. (2015). Nontoxic antimicrobials that evade drug resistance. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations
16.
Li, Junqi, Eric P. Gillis, Seiko Fujii, et al.. (2015). Synthesis of many different types of organic small molecules using one automated process. Science. 347(6227). 1221–1226. 424 indexed citations breakdown →
17.
Davis, Stephen, Benjamin Vincent, Matthew M. Endo, et al.. (2015). Nontoxic antimicrobials that evade drug resistance. Nature Chemical Biology. 11(7). 481–487. 73 indexed citations
18.
Gray, Kaitlyn, et al.. (2012). Amphotericin primarily kills yeast by simply binding ergosterol. Proceedings of the National Academy of Sciences. 109(7). 2234–2239. 442 indexed citations breakdown →
19.
Palacios, Daniel S., et al.. (2011). Synthesis-enabled functional group deletions reveal key underpinnings of amphotericin B ion channel and antifungal activities. Proceedings of the National Academy of Sciences. 108(17). 6733–6738. 108 indexed citations
20.
Hauschke, Dieter, Meinhard Kieser, E Diletti, & Martin D. Burke. (1999). Sample size determination for proving equivalence based on the ratio of two means for normally distributed data. Statistics in Medicine. 18(1). 93–105. 64 indexed citations

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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