P. Craig

2.9k citations
70 papers · 1.3k · h-index 16

Impact in

  • Hematology top 5%
    • Blood Coagulation and Thrombosis Mechanisms
  • Toxicology top 2%
    • Forensic Toxicology and Drug Analysis

Papers in

    • Genetics, Bioinformatics, and Biomedical Research 24
    • Protein Structure and Dynamics 10
    • Genomics and Phylogenetic Studies 6
    • Microbial Metabolic Engineering and Bioproduction 5
    • Enzyme Structure and Function 8

P. Craig

62 papers receiving 1.2k citations

Peers

P. Craig
Comparison fields: 5 of 154
  • Hematology 350
  • Toxicology 100
  • Internal Medicine 68
  • Cancer Research 226
  • Cell Biology 151
Replace Thomas H. Smith with:
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Yihang Pan China
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P. Craig relative to Thomas H. Smith United States Thomas H. Smith's profile →
Citations per field
00.5×5.7×
Thomas H. Smith · 1×
Citations per year

Countries citing papers authored by P. Craig

Since Specialization
Citations

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

Fields of papers citing papers by P. Craig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside P. Craig, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with P. Craig Line = papers co-authored together P. Craig links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992411
2 1992140
3 198986
4 198978
5 200648
6 199347
7 201335
8 201932
9 201632
10 199923
11 201721
12 200319
13 201919
14 198619
15 199019
16
Instructing Students in Academic Integrity
201015
17 202015
18 201515
19 201215
20 199313

About P. Craig

P. Craig is a scholar working on Molecular Biology, Materials Chemistry, Physical and Theoretical Chemistry, Spectroscopy and Biomedical Engineering, having authored 70 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genetics, Bioinformatics, and Biomedical Research (24 papers), Protein Structure and Dynamics (10 papers), Various Chemistry Research Topics (8 papers), Enzyme Structure and Function (8 papers), Genomics and Phylogenetic Studies (6 papers), Biomedical and Engineering Education (6 papers), Microbial Metabolic Engineering and Bioproduction (5 papers) and Advanced Proteomics Techniques and Applications (5 papers). The work is most often cited by research in Hematology (350 citations), Toxicology (100 citations), Internal Medicine (68 citations), Cancer Research (226 citations) and Cell Biology (151 citations). P. Craig has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Steven T. Olson, Joseph D. Shore, Ingemar Björk, J Choay, Willfried Schramm, Richard H. Smith, David A. Kidwell, Pratap Singh, Paul Bock and Eugene E. Dekker. Their work appears in journals such as The FASEB Journal, Clinical Chemistry, Journal of Biological Chemistry, Journal of Structural and Functional Genomics and Annals of the New York Academy of Sciences.

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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