P. Todd Stukenberg

15.0k citations
105 papers · 12.2k indexed · 3 hit papers · h-index 54
Topics
Microtubule and mitosis dynamics (72 papers)Genomics and Chromatin Dynamics (39 papers)DNA Repair Mechanisms (20 papers)

In The Last Decade

P. Todd Stukenberg

105 papers receiving 12.0k citations

Hit Papers

Phosphoproteome analysis by mass spectrometry and its app...19972026200620162002199720044008001.2k

Peers

P. Todd Stukenberg
Comparison fields: 5 of 131
  • Molecular Biology 10.5k
  • Cell Biology 5.7k
  • Oncology 2.0k
  • Plant Science 1.4k
  • Genetics 1.1k
Replace Mathew E. Sowa with:
Mathew E. Sowa United States
Noah Dephoure United States
Namrata D. Udeshi United States
Hongtao Yu United States
Donald S. Kirkpatrick United States
Anna Shevchenko Germany
Mark Skehel United Kingdom
Michael J. Clague United Kingdom
Martin Rechsteiner United States
Eric J. Bennett United States
P. Todd Stukenberg relative to Mathew E. Sowa United States Mathew E. Sowa's profile →
Citations per field
00.5×3.5×
Mathew E. Sowa · 1×
Citations per year

Countries citing papers authored by P. Todd Stukenberg

Since Specialization
Citations

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

Fields of papers citing papers by P. Todd Stukenberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. Todd Stukenberg. 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 P. Todd Stukenberg. The network helps show where P. Todd Stukenberg may publish in the future.

Co-authorship network of co-authors of P. Todd Stukenberg

This figure shows the co-authorship network connecting the top 25 collaborators of P. Todd Stukenberg. A scholar is included among the top collaborators of P. Todd Stukenberg 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 P. Todd Stukenberg. P. Todd Stukenberg 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
#WorkIndexed citations
1 4
2 1
3 33
4 57
5 39
6 26
7 54
8 46
9 374
10 5
11 96
12 47
13 57
14 236
15 109
16 106
17 143
18 264
19 257
20 297

About P. Todd Stukenberg

P. Todd Stukenberg is a scholar working on Cell Biology, Molecular Biology and Aging, having authored 105 papers that have together received 12.2k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (72 papers), Genomics and Chromatin Dynamics (39 papers) and DNA Repair Mechanisms (20 papers). The work is most often cited by research in Cell Biology (5.7k citations), Molecular Biology (10.5k citations) and Oncology (2.0k citations). P. Todd Stukenberg has collaborated with scholars based in United States, Finland and United Kingdom. Frequent co-authors include Marc W. Kirschner, Mark L. McCleland, Daniel J. Burke, Mike O’Donnell, Weijie Lan, Jeffrey Shabanowitz, Donald F. Hunt, Gary J. Gorbsky, Forest M. White and Mark M. Ross. Their work appears in journals such as Nature, Science and Cell.

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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