Michael L. Mucenski

5.9k citations
47 papers · 5.0k indexed · 1 hit paper · h-index 33
Topics
Cancer-related gene regulation (6 papers)Cancer Mechanisms and Therapy (6 papers)Zebrafish Biomedical Research Applications (5 papers)

In The Last Decade

Michael L. Mucenski

47 papers receiving 4.9k citations

Hit Papers

A functional c-myb gene is required for normal murine fet...19912026200220141991250500750

Peers

Michael L. Mucenski
Comparison fields: 5 of 112
  • Molecular Biology 3.0k
  • Immunology 1.3k
  • Genetics 830
  • Hematology 767
  • Cell Biology 658
Replace János Sümegi with:
János Sümegi United States
Linda A. Cannizzaro United States
Takuro Nakamura Japan
Brigitte Royer‐Pokora Germany
Rafael Espinosa United States
Stephen M. Jane Australia
Stuart H. Orkin United States
Dennis D. Hickstein United States
Elaine Spooncer United Kingdom
Alessandra Eva Italy
Michael L. Mucenski relative to János Sümegi United States János Sümegi's profile →
Citations per field
00.5×1.5×2.3×
János Sümegi · 1×
Citations per year

Countries citing papers authored by Michael L. Mucenski

Since Specialization
Citations

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

Fields of papers citing papers by Michael L. Mucenski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael L. Mucenski

This figure shows the co-authorship network connecting the top 25 collaborators of Michael L. Mucenski. A scholar is included among the top collaborators of Michael L. Mucenski 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 L. Mucenski. Michael L. Mucenski 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 41
2 122
3 57
4 295
5 15
6 40
7 86
8 43
9 12
10 50
11 39
12 17
13 34
14 15
15 39
16 38
17
A functional c-myb gene is required for normal murine fetal hepatic hematopoiesisbreakdown →
894
18 51
19 362
20 55

About Michael L. Mucenski

Michael L. Mucenski is a scholar working on Hematology, Cell Biology and Genetics, having authored 47 papers that have together received 5.0k indexed citations. Recurring topics across this work include Cancer-related gene regulation (6 papers), Cancer Mechanisms and Therapy (6 papers) and Zebrafish Biomedical Research Applications (5 papers). The work is most often cited by research in Hematology (767 citations), Immunology (1.3k citations) and Molecular Biology (3.0k citations). Michael L. Mucenski has collaborated with scholars based in United States, Japan and Australia. Frequent co-authors include S. Steven Potter, Claire M. Schreiner, Jeffrey A. Whitsett, Neal G. Copeland, James N. Ihle, Ann B. Kier, William J. Scott, Thomas Miller, Daniel Pietryga and Steven H. Swerdlow. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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