Tucker R. Huffman

868 total citations
9 papers, 628 citations indexed

About

Tucker R. Huffman is a scholar working on Molecular Biology, Organic Chemistry and Cancer Research. According to data from OpenAlex, Tucker R. Huffman has authored 9 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Organic Chemistry and 2 papers in Cancer Research. Recurrent topics in Tucker R. Huffman's work include Catalytic C–H Functionalization Methods (3 papers), Ubiquitin and proteasome pathways (3 papers) and Catalytic Cross-Coupling Reactions (2 papers). Tucker R. Huffman is often cited by papers focused on Catalytic C–H Functionalization Methods (3 papers), Ubiquitin and proteasome pathways (3 papers) and Catalytic Cross-Coupling Reactions (2 papers). Tucker R. Huffman collaborates with scholars based in United States. Tucker R. Huffman's co-authors include Ryan A. Shenvi, Daniel K. Nomura, David K. Miyamoto, Samantha A. Green, Vincent A. van der Puyl, Leslie A. Bateman, Christine F. Skibola, Roman Camarda, Lisa A. Crawford and Carl C. Ward and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Chemical Communications.

In The Last Decade

Tucker R. Huffman

9 papers receiving 624 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tucker R. Huffman United States 8 334 308 87 62 51 9 628
Andrea M. Zuhl United States 9 426 1.3× 421 1.4× 103 1.2× 93 1.5× 47 0.9× 13 881
Frederick W. Goldberg United Kingdom 15 320 1.0× 418 1.4× 95 1.1× 53 0.9× 38 0.7× 35 807
Ingo V. Hartung Germany 14 315 0.9× 477 1.5× 70 0.8× 56 0.9× 26 0.5× 36 906
James E. Sheppeck United States 15 313 0.9× 296 1.0× 72 0.8× 53 0.9× 32 0.6× 24 628
Jenny Roy Canada 17 333 1.0× 250 0.8× 123 1.4× 55 0.9× 37 0.7× 61 790
Helen M. Sheldrake United Kingdom 14 280 0.8× 255 0.8× 132 1.5× 75 1.2× 16 0.3× 29 669
Kimiyuki Shibuya Japan 14 272 0.8× 191 0.6× 46 0.5× 50 0.8× 17 0.3× 40 563
Juraj Velcicky Switzerland 19 366 1.1× 636 2.1× 145 1.7× 30 0.5× 59 1.2× 24 957
Jung‐Nyoung Heo South Korea 18 256 0.8× 653 2.1× 61 0.7× 28 0.5× 50 1.0× 41 874
Meizhong Jin United States 13 340 1.0× 359 1.2× 141 1.6× 37 0.6× 32 0.6× 20 725

Countries citing papers authored by Tucker R. Huffman

Since Specialization
Citations

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

Fields of papers citing papers by Tucker R. Huffman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tucker R. Huffman. 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 Tucker R. Huffman. The network helps show where Tucker R. Huffman may publish in the future.

Co-authorship network of co-authors of Tucker R. Huffman

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

All Works

9 of 9 papers shown
1.
Ting, Stephen I., et al.. (2023). Synthesis of (−)-Cotylenol, a 14-3-3 Molecular Glue Component. Journal of the American Chemical Society. 145(37). 20634–20645. 17 indexed citations
2.
Berdan, Charles A., Raymond Ho, Milton To, et al.. (2019). Parthenolide Covalently Targets and Inhibits Focal Adhesion Kinase in Breast Cancer Cells. Cell chemical biology. 26(7). 1027–1035.e22. 69 indexed citations
3.
Huffman, Tucker R., et al.. (2019). Intermolecular Heck Coupling with Hindered Alkenes Directed by Potassium Carboxylates. Angewandte Chemie International Edition. 58(8). 2371–2376. 36 indexed citations
4.
Huffman, Tucker R., et al.. (2019). Intermolecular Heck Coupling with Hindered Alkenes Directed by Potassium Carboxylates. Angewandte Chemie. 131(8). 2393–2398. 5 indexed citations
5.
Green, Samantha A., et al.. (2019). Hydroalkylation of Olefins To Form Quaternary Carbons. Journal of the American Chemical Society. 141(19). 7709–7714. 159 indexed citations
6.
Bateman, Leslie A., Truc Nguyen, Allison M. Roberts, et al.. (2017). Chemoproteomics-enabled covalent ligand screen reveals a cysteine hotspot in reticulon 4 that impairs ER morphology and cancer pathogenicity. Chemical Communications. 53(53). 7234–7237. 59 indexed citations
7.
Ward, Carl C., Jessica N. Spradlin, Leslie A. Bateman, et al.. (2017). Covalent Ligand Discovery against Druggable Hotspots Targeted by Anti-cancer Natural Products. Cell chemical biology. 24(11). 1368–1376.e4. 92 indexed citations
8.
Roberts, Allison M., David K. Miyamoto, Tucker R. Huffman, et al.. (2017). Chemoproteomic Screening of Covalent Ligands Reveals UBA5 As a Novel Pancreatic Cancer Target. ACS Chemical Biology. 12(4). 899–904. 76 indexed citations
9.
Louie, Sharon M., Lisa A. Crawford, Roman Camarda, et al.. (2016). GSTP1 Is a Driver of Triple-Negative Breast Cancer Cell Metabolism and Pathogenicity. Cell chemical biology. 23(5). 567–578. 115 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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Breakdown of academic impact, for papers by Andrea M. Zuhl Breakdown of academic impact, for papers by Frederick W. Goldberg Breakdown of academic impact, for papers by Ingo V. Hartung Breakdown of academic impact, for papers by James E. Sheppeck Breakdown of academic impact, for papers by Jenny Roy Breakdown of academic impact, for papers by Helen M. Sheldrake Breakdown of academic impact, for papers by Kimiyuki Shibuya Breakdown of academic impact, for papers by Juraj Velcicky Breakdown of academic impact, for papers by Jung‐Nyoung Heo Breakdown of academic impact, for papers by Meizhong Jin
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2026