Mark W. Zimmerman

91 total papers · 1.8k total citations
23 papers, 701 citations indexed

About

Mark W. Zimmerman is a scholar working on Molecular Biology, Neurology and Genetics. According to data from OpenAlex, Mark W. Zimmerman has authored 23 papers receiving a total of 701 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 14 papers in Neurology and 5 papers in Genetics. Recurrent topics in Mark W. Zimmerman's work include Neuroblastoma Research and Treatments (14 papers), Protein Degradation and Inhibitors (7 papers) and Signaling Pathways in Disease (4 papers). Mark W. Zimmerman is often cited by papers focused on Neuroblastoma Research and Treatments (14 papers), Protein Degradation and Inhibitors (7 papers) and Signaling Pathways in Disease (4 papers). Mark W. Zimmerman collaborates with scholars based in United States, United Kingdom and China. Mark W. Zimmerman's co-authors include A. Thomas Look, Adam D. Durbin, Brian J. Abraham, Shuning He, Richard A. Young, Gregg E. Homanics, John S. Lazo, Nina Weichert‐Leahey, Ting Tao and Hui Shi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Mark W. Zimmerman

22 papers receiving 699 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mark W. Zimmerman 527 316 168 121 85 23 701
Katia Balmas Bourloud 528 1.0× 283 0.9× 175 1.0× 220 1.8× 48 0.6× 19 715
Yusuke Suenaga 546 1.0× 269 0.9× 232 1.4× 169 1.4× 75 0.9× 42 765
Kristina Althoff 546 1.0× 255 0.8× 196 1.2× 154 1.3× 31 0.4× 21 722
Kristopher R. Bosse 386 0.7× 393 1.2× 228 1.4× 253 2.1× 51 0.6× 29 692
Veronica Veschi 441 0.8× 189 0.6× 181 1.1× 265 2.2× 47 0.6× 26 692
Marli E. Ebus 449 0.9× 317 1.0× 162 1.0× 242 2.0× 71 0.8× 14 679
Alvin Chan 397 0.8× 402 1.3× 181 1.1× 101 0.8× 61 0.7× 14 633
Jikui Guan 411 0.8× 294 0.9× 134 0.8× 160 1.3× 81 1.0× 25 716
Yvonne Kahlert 514 1.0× 488 1.5× 382 2.3× 135 1.1× 50 0.6× 16 786
Jessica Theißen 514 1.0× 440 1.4× 375 2.2× 152 1.3× 40 0.5× 15 752

Countries citing papers authored by Mark W. Zimmerman

Since Specialization
Citations

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

Fields of papers citing papers by Mark W. Zimmerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark W. Zimmerman. 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 Mark W. Zimmerman. The network helps show where Mark W. Zimmerman may publish in the future.

Co-authorship network of co-authors of Mark W. Zimmerman

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

All Works

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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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