Ryan J. Lumpkin

751 total citations
11 papers, 357 citations indexed

About

Ryan J. Lumpkin is a scholar working on Molecular Biology, Oncology and Infectious Diseases. According to data from OpenAlex, Ryan J. Lumpkin has authored 11 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Oncology and 1 paper in Infectious Diseases. Recurrent topics in Ryan J. Lumpkin's work include Ubiquitin and proteasome pathways (7 papers), Protein Degradation and Inhibitors (5 papers) and Peptidase Inhibition and Analysis (2 papers). Ryan J. Lumpkin is often cited by papers focused on Ubiquitin and proteasome pathways (7 papers), Protein Degradation and Inhibitors (5 papers) and Peptidase Inhibition and Analysis (2 papers). Ryan J. Lumpkin collaborates with scholars based in United States. Ryan J. Lumpkin's co-authors include Elizabeth A. Komives, Yiying Zhu, Eric J. Bennett, Hongbo Gu, Marilyn Leonard, Jesse G. Meyer, Karl R. Clauser, James L. Beck, Qiquan Qiao and James T. McLeskey and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Biochemistry.

In The Last Decade

Ryan J. Lumpkin

11 papers receiving 353 citations

Peers

Ryan J. Lumpkin

MB

ONCOL

IMMUN

EEE

MC

Luke Vistain United States

Chunjing Feng China

Ana Gargaun Canada

Yufei Pan China

Suzanne B. P. E. Timmermans Netherlands

Nina Bernstein Canada

Sarah Gilgunn Ireland

Anissa N. Elayadi United States

Anna A. Tang United Kingdom

Yuyu Tan China

Luke Vistain United States

Ryan J. Lumpkin

245 ×1.0

MB

39 ×0.5

ONCOL

71 ×1.5

IMMUN

10 ×0.3

EEE

48 ×1.4

MC

Citations per year, relative to Ryan J. Lumpkin Ryan J. Lumpkin (= 1×) peers Luke Vistain

Countries citing papers authored by Ryan J. Lumpkin

Since Specialization

Citations

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

Fields of papers citing papers by Ryan J. Lumpkin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan J. Lumpkin. 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 Ryan J. Lumpkin. The network helps show where Ryan J. Lumpkin may publish in the future.

Co-authorship network of co-authors of Ryan J. Lumpkin

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

All Works

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11 of 11 papers shown

1.

Baek, Kheewoong, Shourya S. Roy Burman, Jonathan W. Bushman, et al.. (2025). Unveiling the hidden interactome of CRBN molecular glues. Nature Communications. 16(1). 6831–6831. 11 indexed citations

2.

Hassan, Muhammad Murtaza, Yen-Der Li, W Michelle, et al.. (2024). Exploration of the tunability of BRD4 degradation by DCAF16 trans-labelling covalent glues. European Journal of Medicinal Chemistry. 279. 116904–116904. 12 indexed citations

3.

Huang, Hai‐Tsang, Ryan J. Lumpkin, Xu Zhao, et al.. (2024). Ubiquitin-specific proximity labeling for the identification of E3 ligase substrates. Nature Chemical Biology. 20(9). 1227–1236. 26 indexed citations

4.

Koochaki, Sebastian, Mikołaj Słabicki, Ryan J. Lumpkin, et al.. (2022). A STUB1 ubiquitin ligase/CHIC2 protein complex negatively regulates the IL-3, IL-5, and GM-CSF cytokine receptor common β chain (CSF2RB) protein stability. Journal of Biological Chemistry. 298(10). 102484–102484. 4 indexed citations

5.

Vemulapalli, Vidyasiri, Katherine A. Donovan, T.C.M. Seegar, et al.. (2021). Targeted Degradation of the Oncogenic Phosphatase SHP2. Biochemistry. 60(34). 2593–2609. 32 indexed citations

6.

Lumpkin, Ryan J., et al.. (2020). The Mechanism of NEDD8 Activation of CUL5 Ubiquitin E3 Ligases. Molecular & Cellular Proteomics. 20. 100019–100019. 18 indexed citations

7.

Lumpkin, Ryan J., Richard W. Baker, Andrés E. Leschziner, & Elizabeth A. Komives. (2020). Structure and dynamics of the ASB9 CUL-RING E3 Ligase. Nature Communications. 11(1). 24 indexed citations

8.

Lumpkin, Ryan J. & Elizabeth A. Komives. (2019). DECA, A Comprehensive, Automatic Post-processing Program for HDX-MS Data*. Molecular & Cellular Proteomics. 18(12). 2516–2523. 37 indexed citations

9.

Lumpkin, Ryan J., Hongbo Gu, Yiying Zhu, et al.. (2017). Site-specific identification and quantitation of endogenous SUMO modifications under native conditions. Nature Communications. 8(1). 1171–1171. 103 indexed citations

10.

Capodagli, Glenn C., et al.. (2013). Diversity of Ubiquitin and ISG15 Specificity among Nairoviruses' Viral Ovarian Tumor Domain Proteases. Journal of Virology. 87(7). 3815–3827. 40 indexed citations

11.

Qiao, Qiquan, et al.. (2005). A comparison of fluorine tin oxide and indium tin oxide as the transparent electrode for P3OT/TiO2 solar cells. Solar Energy Materials and Solar Cells. 90(7-8). 1034–1040. 50 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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