Patricia Bauman

1.3k total citations
47 papers, 918 citations indexed

About

Patricia Bauman is a scholar working on Molecular Biology, Computational Theory and Mathematics and Applied Mathematics. According to data from OpenAlex, Patricia Bauman has authored 47 papers receiving a total of 918 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 12 papers in Computational Theory and Mathematics and 12 papers in Applied Mathematics. Recurrent topics in Patricia Bauman's work include Advanced Mathematical Modeling in Engineering (10 papers), Advanced Mathematical Physics Problems (6 papers) and Nonlinear Partial Differential Equations (6 papers). Patricia Bauman is often cited by papers focused on Advanced Mathematical Modeling in Engineering (10 papers), Advanced Mathematical Physics Problems (6 papers) and Nonlinear Partial Differential Equations (6 papers). Patricia Bauman collaborates with scholars based in United States, United Kingdom and Switzerland. Patricia Bauman's co-authors include Daniel Phillips, Thomas A. Gasiewicz, Qi Tang, Randy Blakely, John M. Anderson, Anne E. Cress, Zoltán A. Tökés, Giorgio Trinchieri, William S. Dalton and Massimo De Marchi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Agricultural and Food Chemistry.

In The Last Decade

Patricia Bauman

46 papers receiving 813 citations

Peers

Patricia Bauman
Comparison fields: 5 of 110
  • Computational Theory and Mathematics 259
  • Molecular Biology 233
  • Applied Mathematics 232
  • Mathematical Physics 171
  • Cell Biology 91
Replace Hirofumi Osada with:
Hirofumi Osada Japan
Kazuhiko Fukui Japan
Shangbin Cui China
Nicolae H. Pavel United States
Giuseppe Di Maio Italy
Masayoshi Tsutsumi Japan
Chengxiang Zhang China
Kyungkeun Kang South Korea
Masahiko Miyamoto Japan
Fréderic Faure France
Hirofumi Osada Japan View profile →
Citations per field, relative to Patricia Bauman
Patricia Bauman · 1×
Citations per year, relative to Patricia Bauman
Patricia Bauman · 1×

Countries citing papers authored by Patricia Bauman

Since Specialization
Citations

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

Fields of papers citing papers by Patricia Bauman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patricia Bauman. 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 Patricia Bauman. The network helps show where Patricia Bauman may publish in the future.

Co-authorship network of co-authors of Patricia Bauman

This figure shows the co-authorship network connecting the top 25 collaborators of Patricia Bauman. A scholar is included among the top collaborators of Patricia Bauman 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 Patricia Bauman. Patricia Bauman 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
# Work Indexed citations
1 8
2 1
3 2
4 1
5 3
6 5
7 15
8 18
9 34
10 22
11 46
12 31
13 9
14 16
15 19
16 18
17 31
18 1
19 6
20 79

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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