B. Franklin Pugh

18.0k citations
113 papers · 12.8k indexed · 7 hit papers · h-index 58
Topics
Genomics and Chromatin Dynamics (87 papers)RNA Research and Splicing (58 papers)RNA and protein synthesis mechanisms (41 papers)
Partner nations
United StatesChinaFrance

In The Last Decade

B. Franklin Pugh

112 papers receiving 12.6k citations

Hit Papers

Nucleosome positioning and gene regulatio...199120262002201420092011200819912007250500750

Peers

B. Franklin Pugh
Comparison fields: 5 of 130
  • Molecular Biology 11.9k
  • Plant Science 1.8k
  • Genetics 1.4k
  • Cancer Research 582
  • Immunology 491
Replace Tom Owen‐Hughes with:
Tom Owen‐Hughes United Kingdom
Nancy M. Hannett United States
Geeta J. Narlikar United States
Bertrand Séraphin France
James Cuff United States
Julia Zeitlinger United States
Wendy V. Gilbert United States
Karen Adelman United States
Stephen Buratowski United States
Mark D. Biggin United States
B. Franklin Pugh relative to Tom Owen‐Hughes United Kingdom Tom Owen‐Hughes's profile →
Citations per field
00.5×1.6×
Tom Owen‐Hughes · 1×
Citations per year

Countries citing papers authored by B. Franklin Pugh

Since Specialization
Citations

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

Fields of papers citing papers by B. Franklin Pugh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by B. Franklin Pugh. 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 B. Franklin Pugh. The network helps show where B. Franklin Pugh may publish in the future.

Co-authorship network of co-authors of B. Franklin Pugh

This figure shows the co-authorship network connecting the top 25 collaborators of B. Franklin Pugh. A scholar is included among the top collaborators of B. Franklin Pugh 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 B. Franklin Pugh. B. Franklin Pugh 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 5
3 126
4 11
5 2
6 30
7 5
8 17
9 29
10 55
11 27
12 35
13 24
14 5
15 145
16 94
17 175
18 50
19 16
20 61

About B. Franklin Pugh

B. Franklin Pugh is a scholar working on Molecular Biology, Information Systems and Management and Genetics, having authored 113 papers that have together received 12.8k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (87 papers), RNA Research and Splicing (58 papers) and RNA and protein synthesis mechanisms (41 papers). The work is most often cited by research in Molecular Biology (11.9k citations), Aging (106 citations) and Genetics (1.4k citations). B. Franklin Pugh has collaborated with scholars based in United States, China and France. Frequent co-authors include Cizhong Jiang, Ho Sung Rhee, Robert Tjian, Sara J. Zanton, Bryan J. Venters, István Albert, Kathryn L. Huisinga, William Lai, Naoko Tanese and Michael M. Cox. 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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