Adam L. Yokom

1.3k total citations
21 papers, 913 citations indexed

About

Adam L. Yokom is a scholar working on Molecular Biology, Cell Biology and Epidemiology. According to data from OpenAlex, Adam L. Yokom has authored 21 papers receiving a total of 913 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Cell Biology and 4 papers in Epidemiology. Recurrent topics in Adam L. Yokom's work include Endoplasmic Reticulum Stress and Disease (4 papers), Cellular transport and secretion (4 papers) and Autophagy in Disease and Therapy (4 papers). Adam L. Yokom is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (4 papers), Cellular transport and secretion (4 papers) and Autophagy in Disease and Therapy (4 papers). Adam L. Yokom collaborates with scholars based in United States, France and South Africa. Adam L. Yokom's co-authors include James H. Hurley, Daniel R. Southworth, Min Su, Meredith E. Jackrel, Korrie L. Mack, James Shorter, Stephanie N. Gates, Xiaoshan Shi, Lindsey N. Young and Elizabeth A. Sweeny and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Adam L. Yokom

20 papers receiving 911 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adam L. Yokom United States 15 660 268 240 107 105 21 913
Heeseon An United States 16 731 1.1× 288 1.1× 456 1.9× 65 0.6× 47 0.4× 19 1.1k
Lisa M. Ryno United States 10 561 0.8× 560 2.1× 228 0.9× 91 0.9× 72 0.7× 15 1.1k
Nicolas Coudevylle Austria 15 490 0.7× 178 0.7× 155 0.6× 54 0.5× 81 0.8× 30 718
Jeremy D. O’Connell United States 13 1.0k 1.5× 196 0.7× 77 0.3× 46 0.4× 67 0.6× 15 1.2k
Anders Riis Kristensen Canada 13 735 1.1× 253 0.9× 273 1.1× 38 0.4× 30 0.3× 15 1.1k
Peiyuan Chai China 9 374 0.6× 235 0.9× 231 1.0× 42 0.4× 32 0.3× 12 735
Kevin E. Knockenhauer United States 14 998 1.5× 222 0.8× 135 0.6× 85 0.8× 22 0.2× 21 1.3k
Gareth J. Morgan United States 19 816 1.2× 118 0.4× 122 0.5× 196 1.8× 68 0.6× 42 1.1k
Guangtao Li United States 18 627 0.9× 371 1.4× 144 0.6× 64 0.6× 59 0.6× 31 842
Alexander F. Schubert United Kingdom 9 722 1.1× 125 0.5× 520 2.2× 101 0.9× 32 0.3× 10 1.0k

Countries citing papers authored by Adam L. Yokom

Since Specialization
Citations

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

Fields of papers citing papers by Adam L. Yokom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adam L. Yokom. 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 Adam L. Yokom. The network helps show where Adam L. Yokom may publish in the future.

Co-authorship network of co-authors of Adam L. Yokom

This figure shows the co-authorship network connecting the top 25 collaborators of Adam L. Yokom. A scholar is included among the top collaborators of Adam L. Yokom 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 Adam L. Yokom. Adam L. Yokom 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.
Lin, JiaBei, Peter J. Carman, Craig W. Gambogi, et al.. (2024). Design principles to tailor Hsp104 therapeutics. Cell Reports. 43(12). 115005–115005.
2.
Ren, Xuefeng, Thanh Ngoc Nguyen, Wai Kit Lam, et al.. (2023). Structural basis for ATG9A recruitment to the ULK1 complex in mitophagy initiation. Science Advances. 9(7). eadg2997–eadg2997. 38 indexed citations
3.
Castillo, Juan P., Alex Tong, Kevin P. Larsen, et al.. (2022). Friction-driven membrane scission by the human ESCRT-III proteins CHMP1B and IST1. Proceedings of the National Academy of Sciences. 119(29). e2204536119–e2204536119. 18 indexed citations
4.
Chang, Chunmei, Xiaoshan Shi, Liv Jensen, et al.. (2021). Reconstitution of cargo-induced LC3 lipidation in mammalian selective autophagy. Science Advances. 7(17). 35 indexed citations
5.
Shi, Xiaoshan, Adam L. Yokom, Chunxin Wang, et al.. (2020). ULK complex organization in autophagy by a C-shaped FIP200 N-terminal domain dimer. The Journal of Cell Biology. 219(7). 64 indexed citations
6.
Flower, Thomas G., Yoshinori Takahashi, Arpa Hudait, et al.. (2020). A helical assembly of human ESCRT-I scaffolds reverse-topology membrane scission. Nature Structural & Molecular Biology. 27(6). 570–580. 43 indexed citations
7.
Shi, Xiaoshan, Chunmei Chang, Adam L. Yokom, Liv Jensen, & James H. Hurley. (2020). The autophagy adaptor NDP52 and the FIP200 coiled-coil allosterically activate ULK1 complex membrane recruitment. eLife. 9. 55 indexed citations
8.
Lin, JiaBei, Meredith E. Jackrel, Peter J. Carman, et al.. (2019). Mining Disaggregase Sequence Space to Safely Counter TDP-43, FUS, and α-Synuclein Proteotoxicity. Cell Reports. 28(8). 2080–2095.e6. 33 indexed citations
9.
Ruetz, Markus, Gregory C. Campanello, Adam L. Yokom, et al.. (2019). Allosteric Regulation of Oligomerization by a B12 Trafficking G-Protein Is Corrupted in Methylmalonic Aciduria. Cell chemical biology. 26(7). 960–969.e4. 12 indexed citations
10.
Lawrence, Rosalie, Simon A. Fromm, Yangxue Fu, et al.. (2019). Structural mechanism of a Rag GTPase activation checkpoint by the lysosomal folliculin complex. Science. 366(6468). 971–977. 114 indexed citations
11.
Horst, Benjamin G., Adam L. Yokom, Daniel J. Rosenberg, et al.. (2019). Allosteric activation of the nitric oxide receptor soluble guanylate cyclase mapped by cryo-electron microscopy. eLife. 8. 65 indexed citations
12.
Yokom, Adam L., Cheng Shen, Min Su, et al.. (2018). The full-length cytochrome P450 enzyme CYP102A1 dimerizes at its reductase domains and has flexible heme domains for efficient catalysis. Journal of Biological Chemistry. 293(20). 7727–7736. 38 indexed citations
13.
Gates, Stephanie N., Adam L. Yokom, JiaBei Lin, et al.. (2017). Ratchet-like polypeptide translocation mechanism of the AAA+ disaggregase Hsp104. Science. 357(6348). 273–279. 193 indexed citations
14.
Campanello, Gregory C., et al.. (2017). Switch I-dependent allosteric signaling in a G-protein chaperone–B12 enzyme complex. Journal of Biological Chemistry. 292(43). 17617–17625. 11 indexed citations
15.
Yokom, Adam L., Stephanie N. Gates, Meredith E. Jackrel, et al.. (2016). Spiral architecture of the Hsp104 disaggregase reveals the basis for polypeptide translocation. Nature Structural & Molecular Biology. 23(9). 830–837. 89 indexed citations
16.
Dang, Loan, et al.. (2015). Kinetic analysis of IgG antibodies to beta-amyloid oligomers with surface plasmon resonance. Analytical Biochemistry. 481. 43–54. 11 indexed citations
18.
Yokom, Adam L., Yoshihiro Morishima, Miranda Lau, et al.. (2014). Architecture of the Nitric-oxide Synthase Holoenzyme Reveals Large Conformational Changes and a Calmodulin-driven Release of the FMN Domain. Journal of Biological Chemistry. 289(24). 16855–16865. 41 indexed citations
19.
Cierpicki, Tomasz, Marcelo J. Murai, Jonathan Pollock, et al.. (2014). Abstract 3225: LEDGF IBD domain represents therapeutic target for MLL leukemia and HIV. Cancer Research. 74(19_Supplement). 3225–3225. 1 indexed citations
20.
Murai, Marcelo J., Jonathan Pollock, Shihan He, et al.. (2014). The same site on the integrase-binding domain of lens epithelium–derived growth factor is a therapeutic target for MLL leukemia and HIV. Blood. 124(25). 3730–3737. 32 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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