Michael P. Bova

3.3k citations
32 papers · 2.1k indexed · h-index 16
Topics
Heat shock proteins research (9 papers)Connexins and lens biology (7 papers)Alzheimer's disease research and treatments (5 papers)

In The Last Decade

Michael P. Bova

32 papers receiving 2.1k citations

Peers

Michael P. Bova
Comparison fields: 5 of 113
  • Molecular Biology 1.8k
  • Materials Chemistry 401
  • Physiology 352
  • Cell Biology 322
  • Genetics 271
Replace Daniel R. Southworth with:
Daniel R. Southworth United States
Peter Friedhoff Germany
Yujin Kim South Korea
Linfeng Sun China
Agata Rekas Australia
Clay Bracken United States
Sarah Meehan United Kingdom
Rajaraman Krishnan United States
Mary Ann Gawinowicz United States
Ruud Hovius Switzerland
Michael P. Bova relative to Daniel R. Southworth United States Daniel R. Southworth's profile →
Citations per field
00.5×1.5×
Daniel R. Southworth · 1×
Citations per year

Countries citing papers authored by Michael P. Bova

Since Specialization
Citations

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

Fields of papers citing papers by Michael P. Bova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael P. Bova

This figure shows the co-authorship network connecting the top 25 collaborators of Michael P. Bova. A scholar is included among the top collaborators of Michael P. Bova 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 P. Bova. Michael P. Bova 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 1
2 21
3 5
4 6
5 16
6 3
7 4
8 11
9 4
10 12
11 14
12 9
13 68
14 48
15 113
16 161
17 156
18 194
19 245
20 58

About Michael P. Bova

Michael P. Bova is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pharmacology, having authored 32 papers that have together received 2.1k indexed citations. Recurring topics across this work include Heat shock proteins research (9 papers), Connexins and lens biology (7 papers) and Alzheimer's disease research and treatments (5 papers). The work is most often cited by research in Molecular Biology (1.8k citations), Cell Biology (322 citations) and Physiology (352 citations). Michael P. Bova has collaborated with scholars based in United States, Russia and Netherlands. Frequent co-authors include Linlin Ding, Joseph Horwitz, B K Fung, Hassane S. Mchaourab, Phoebe L. Stewart, Dana A. Haley, Qingling Huang, Yun Han, Lin Ding and Danny Tam. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

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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