P.F. Lemkin

460 citations
18 papers · 402 · h-index 9

Impact in

    • Advanced Proteomics Techniques and Applications
    • Mass Spectrometry Techniques and Applications
  • Biophysics top 10%
    • Cell Image Analysis Techniques

Papers in

    • Genetics, Bioinformatics, and Biomedical Research 5
    • Glycosylation and Glycoproteins Research 3
    • Bioinformatics and Genomic Networks 3
    • Genomics and Phylogenetic Studies 2
    • Microbial Metabolic Engineering and Bioproduction 2
    • Advanced Proteomics Techniques and Applications 9

P.F. Lemkin

18 papers receiving 368 citations

Peers

P.F. Lemkin
Comparison fields: 5 of 72
  • Spectroscopy 169
  • Biophysics 33
  • Immunology and Allergy 24
  • Molecular Biology 290
  • Developmental Neuroscience 12
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Citations per field
00.5×1.5×2.4×
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Citations per year

Countries citing papers authored by P.F. Lemkin

Since Specialization
Citations

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

Fields of papers citing papers by P.F. Lemkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside P.F. Lemkin, 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.F. Lemkin Line = papers co-authored together P.F. Lemkin links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 198975
2 198160
3 198050
4 198147
5 197941
6 198131
7 198531
8 199912
9 198610
10 19798
11 19717
12 19847
13
Identification of coordinate pairs of polypeptides: a technique for screening of putative precursor product pairs in 2D gels.
19847
14 19806
15 19884
16
Use of the positive difference transform for RBC elimination in bone marrow smear images.
19803
17 19792
18 19811

About P.F. Lemkin

P.F. Lemkin is a scholar working on Molecular Biology, Spectroscopy, Biophysics, Cellular and Molecular Neuroscience and Computer Vision and Pattern Recognition, having authored 18 papers that have together received 402 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (9 papers), Genetics, Bioinformatics, and Biomedical Research (5 papers), Glycosylation and Glycoproteins Research (3 papers), Bioinformatics and Genomic Networks (3 papers), Cell Image Analysis Techniques (3 papers), Axon Guidance and Neuronal Signaling (2 papers), Genomics and Phylogenetic Studies (2 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). The work is most often cited by research in Spectroscopy (169 citations), Biophysics (33 citations), Immunology and Allergy (24 citations), Molecular Biology (290 citations) and Developmental Neuroscience (12 citations). P.F. Lemkin has collaborated with scholars based in United States, Switzerland and India. Frequent co-authors include Lewis E. Lipkin, P. Sonderegger, Esther T. Stoeckli, Thomas B. Kuhn, Markus A. Rüegg, P. G. Nelson, Bruce A. Shapiro, Carl R. Merril, WH Oertel and E. L. Smith. Their work appears in journals such as Clinical Chemistry, Developmental Biology, ACM SIGPLAN Notices, European Journal of Biochemistry and Experimental Cell Research.

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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