Michael J. Eddins

2.4k total citations · 1 hit paper
14 papers, 1.7k citations indexed

About

Michael J. Eddins is a scholar working on Molecular Biology, Oncology and Infectious Diseases. According to data from OpenAlex, Michael J. Eddins has authored 14 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Oncology and 2 papers in Infectious Diseases. Recurrent topics in Michael J. Eddins's work include Ubiquitin and proteasome pathways (10 papers), Peptidase Inhibition and Analysis (4 papers) and Protein Degradation and Inhibitors (3 papers). Michael J. Eddins is often cited by papers focused on Ubiquitin and proteasome pathways (10 papers), Peptidase Inhibition and Analysis (4 papers) and Protein Degradation and Inhibitors (3 papers). Michael J. Eddins collaborates with scholars based in United States. Michael J. Eddins's co-authors include Cecile M. Pickart, Cynthia Wolberger, Ranjani Varadan, David Fushman, Craig A. Leach, Jeffrey G. Marblestone, Michael R. Mattern, David E. Sterner, Benjamin Nicholson and Suresh Kumar and has published in prestigious journals such as The EMBO Journal, Journal of Molecular Biology and Journal of Virology.

In The Last Decade

Michael J. Eddins

14 papers receiving 1.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Ubiquitin: structures, functions, mechanisms

2004 1.1k citations Cecile M. Pickart, Michael J. Eddins Biochimica et Biophysica Acta (BBA) - Molecular Cell Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael J. Eddins United States	11	1.5k	471	314	263	158	14	1.7k
Gary Kleiger United States	20	1.8k 1.3×	516 1.1×	352 1.1×	303 1.2×	180 1.1×	34	2.2k
Beatrice Bercovich Israel	17	1.3k 0.9×	526 1.1×	276 0.9×	292 1.1×	176 1.1×	19	1.5k
Annette Flotho Germany	11	1.6k 1.1×	427 0.9×	138 0.4×	352 1.3×	185 1.2×	12	1.8k
Meredith B. Metzger United States	10	1.4k 0.9×	335 0.7×	281 0.9×	320 1.2×	170 1.1×	14	1.7k
Alexander Y. Amerik United States	15	1.8k 1.2×	479 1.0×	438 1.4×	676 2.6×	110 0.7×	22	2.1k
Gali Prag Israel	17	1.4k 0.9×	264 0.6×	238 0.8×	472 1.8×	144 0.9×	36	1.6k
Frank Zühl Germany	6	1.4k 1.0×	516 1.1×	259 0.8×	430 1.6×	153 1.0×	8	1.5k
Gregory A. Cope United States	5	1.5k 1.0×	406 0.9×	310 1.0×	258 1.0×	133 0.8×	5	1.6k
Manuel Kaulich Germany	22	1.6k 1.1×	382 0.8×	298 0.9×	455 1.7×	164 1.0×	45	2.1k
Yves Nominé France	22	1.0k 0.7×	237 0.5×	392 1.2×	256 1.0×	188 1.2×	51	1.4k

Countries citing papers authored by Michael J. Eddins

Since Specialization

Citations

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

Fields of papers citing papers by Michael J. Eddins

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael J. Eddins

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

All Works

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14 of 14 papers shown

Fischmann, Thierry, John A. Howe, Douglas C. Beshore, et al.. (2023). Conserved allosteric inhibitory site on the respiratory syncytial virus and human metapneumovirus RNA-dependent RNA polymerases. Communications Biology. 6(1). 649–649. 20 indexed citations

Xiao, Xiao, Zhiyun Wen, Jennifer M. Shipman, et al.. (2023). Structural characterization of M8C10, a neutralizing antibody targeting a highly conserved prefusion-specific epitope on the metapneumovirus fusion trimerization interface. Journal of Virology. 97(12). e0105223–e0105223. 4 indexed citations

Nicholson, Benjamin, Suresh Kumar, Saket Agarwal, et al.. (2014). Discovery of Therapeutic Deubiquitylase Effector Molecules: Current Perspectives. SLAS DISCOVERY. 19(7). 989–999. 10 indexed citations

Marblestone, Jeffrey G., et al.. (2013). Comprehensive Ubiquitin E2 Profiling of Ten Ubiquitin E3 Ligases. Cell Biochemistry and Biophysics. 67(1). 161–167. 22 indexed citations

Wu, Jian, et al.. (2012). Bioluminescence assay platform for selective and sensitive detection of Ub/Ubl proteases. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1823(11). 2079–2086. 20 indexed citations

Loc’h, Christian, Michael J. Eddins, & James E. Strickler. (2011). Protein Microarrays for the Identification of Praja1 E3 Ubiquitin Ligase Substrates. Cell Biochemistry and Biophysics. 60(1-2). 127–135. 10 indexed citations

Eddins, Michael J., Jeffrey G. Marblestone, Suresh Kumar, et al.. (2011). Targeting the Ubiquitin E3 Ligase MuRF1 to Inhibit Muscle Atrophy. Cell Biochemistry and Biophysics. 60(1-2). 113–118. 46 indexed citations

Wu, Jian, et al.. (2011). Bioluminescence assay platform for selective and sensitive detection of Ub/Ubl proteases. 2. 1 indexed citations

Marblestone, Jeffrey G., Suresh Kumar, Michael J. Eddins, et al.. (2010). Novel Approach for Characterizing Ubiquitin E3 Ligase Function. SLAS DISCOVERY. 15(10). 1220–1228. 14 indexed citations

10.

Eddins, Michael J., Ranjani Varadan, David Fushman, Cecile M. Pickart, & Cynthia Wolberger. (2006). Crystal Structure and Solution NMR Studies of Lys48-linked Tetraubiquitin at Neutral pH. Journal of Molecular Biology. 367(1). 204–211. 147 indexed citations

11.

Eddins, Michael J., et al.. (2006). Mms2–Ubc13 covalently bound to ubiquitin reveals the structural basis of linkage-specific polyubiquitin chain formation. Nature Structural & Molecular Biology. 13(10). 915–920. 287 indexed citations

12.

Pickart, Cecile M. & Michael J. Eddins. (2004). Ubiquitin: structures, functions, mechanisms. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1695(1-3). 55–72. 1060 indexed citations breakdown →

13.

Wu, Pei, Mary H. Hanlon, Michael J. Eddins, et al.. (2004). A conserved catalytic residue in the ubiquitin-conjugating enzyme family. The EMBO Journal. 23(24). 4876–4876. 7 indexed citations

14.

Eddins, Michael J., et al.. (2002). Crystallization and low-resolution structure of an effector-caspase/P35 complex: similarities and differences to an initiator-caspase/P35 complex. Acta Crystallographica Section D Biological Crystallography. 58(2). 299–302. 17 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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