Philip A. Pemberton

5.2k citations
61 papers · 4.2k indexed · 1 hit paper · h-index 31
Topics
Protease and Inhibitor Mechanisms (24 papers)Enzyme Production and Characterization (8 papers)Peptidase Inhibition and Analysis (8 papers)

In The Last Decade

Philip A. Pemberton

61 papers receiving 4.1k citations

Hit Papers

The Serpins Are an Expanding Superfamily of Structurally ...200120262009201720012505007501000

Peers

Philip A. Pemberton
Comparison fields: 5 of 130
  • Molecular Biology 1.6k
  • Cancer Research 1.4k
  • Oncology 600
  • Hematology 566
  • Immunology 548
Replace Magnus Abrahamson with:
Magnus Abrahamson Sweden
José M.P. Freije Spain
Robert W. Mason United States
Michael Kiefer United States
Timothy F. Lane United States
Daniel E. Gómez Argentina
Koichi Nakajima Japan
Su-Ming Hsu United States
Daniel F. Alonso Argentina
Shu‐Wha Lin Taiwan
Philip A. Pemberton relative to Magnus Abrahamson Sweden Magnus Abrahamson's profile →
Citations per field
00.5×1.5×
Magnus Abrahamson · 1×
Citations per year

Countries citing papers authored by Philip A. Pemberton

Since Specialization
Citations

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

Fields of papers citing papers by Philip A. Pemberton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip A. Pemberton. 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 Philip A. Pemberton. The network helps show where Philip A. Pemberton may publish in the future.

Co-authorship network of co-authors of Philip A. Pemberton

This figure shows the co-authorship network connecting the top 25 collaborators of Philip A. Pemberton. A scholar is included among the top collaborators of Philip A. Pemberton 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 Philip A. Pemberton. Philip A. Pemberton 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 55
2 18
3 13
4 7
5 76
6 12
7 9
8 160
9 32
10 4
11 16
12 34
13 99
14 58
15 107
16 17
17 22
18 101
19 6
20 143

About Philip A. Pemberton

Philip A. Pemberton is a scholar working on Cancer Research, Biotechnology and Otorhinolaryngology, having authored 61 papers that have together received 4.2k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (24 papers), Enzyme Production and Characterization (8 papers) and Peptidase Inhibition and Analysis (8 papers). The work is most often cited by research in Cancer Research (1.4k citations), Hematology (566 citations) and Immunology and Allergy (258 citations). Philip A. Pemberton has collaborated with scholars based in United States, United Kingdom and Egypt. Frequent co-authors include Robin W. Carrell, Ruth Sager, Gary A. Silverman, Shijie Sheng, James Travis, Mary J.C. Hendrix, Guy S. Salvesen, Mark B. Pepys, Penelope E. Stein and Julia M. Potter. Their work appears in journals such as Nature, The Lancet 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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