Paula N. Friedman

6.6k citations
62 papers · 4.3k indexed · 2 hit papers · h-index 26
Topics
HER2/EGFR in Cancer Research (9 papers)Cancer-related Molecular Pathways (9 papers)Hepatitis B Virus Studies (7 papers)

In The Last Decade

Paula N. Friedman

58 papers receiving 4.1k citations

Hit Papers

Identification of p53 as a Sequence-Specific DNA-Binding ...199120262002201419911992250500750

Peers

Paula N. Friedman
Comparison fields: 5 of 110
  • Oncology 3.1k
  • Molecular Biology 2.4k
  • Biotechnology 776
  • Cancer Research 679
  • Genetics 465
Replace Shunsuke Kato with:
Shunsuke Kato Japan
Kathleen Forrester United States
Lee M. Krug United States
Leah Haworth United States
Winan J. van Houdt Netherlands
Fiamma Buttitta Italy
Emanuela Pilozzi Italy
Martin R. Sprick Germany
Iain A. McNeish United Kingdom
Tanya Gottlieb Israel
Paula N. Friedman relative to Shunsuke Kato Japan Shunsuke Kato's profile →
Citations per field
00.5×1.5×2.5×
Shunsuke Kato · 1×
Citations per year

Countries citing papers authored by Paula N. Friedman

Since Specialization
Citations

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

Fields of papers citing papers by Paula N. Friedman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paula N. Friedman. 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 Paula N. Friedman. The network helps show where Paula N. Friedman may publish in the future.

Co-authorship network of co-authors of Paula N. Friedman

This figure shows the co-authorship network connecting the top 25 collaborators of Paula N. Friedman. A scholar is included among the top collaborators of Paula N. Friedman 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 Paula N. Friedman. Paula N. Friedman 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 0
2 0
3 25
4 35
5 8
6 117
7 82
8 1
9 160
10 190
11 24
12 3
13 21
14 10
15 54
16 12
17 17
18 1
19 10
20 327

About Paula N. Friedman

Paula N. Friedman is a scholar working on Oncology, Hepatology and Internal Medicine, having authored 62 papers that have together received 4.3k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (9 papers), Cancer-related Molecular Pathways (9 papers) and Hepatitis B Virus Studies (7 papers). The work is most often cited by research in Oncology (3.1k citations), Biotechnology (776 citations) and Cancer Research (679 citations). Paula N. Friedman has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Carol Prives, Jill Bargonetti, Bert Vogelstein, Scott E. Kern, Arthur M. Bruskin, Kenneth W. Kinzler, Hua Zhu, George E. Farmer, Ron Prywes and D R Marshak. 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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