Len C. Packman

1.9k citations
22 papers · 1.7k · h-index 19

Impact in

Papers in

    • Advanced Proteomics Techniques and Applications 5
    • RNA Research and Splicing 3
    • Glycosylation and Glycoproteins Research 2
    • Protein Tyrosine Phosphatases 1
    • Genomics and Chromatin Dynamics 1

Len C. Packman

22 papers receiving 1.6k citations

Peers

Len C. Packman
Comparison fields: 5 of 79
  • Endocrinology 98
  • Spectroscopy 179
  • Molecular Biology 703
  • Biochemistry 48
  • Physiology 28
Replace Bruce A. Macher with:
Bruce A. Macher United States
Noritaka Hashii Japan
Sophie Groux‐Degroote France
David C. Trudgian United Kingdom
Violaine Moreau France
Paul G. Leonard United States
Lothar Lucka Germany
Masashi Maekawa Japan
Daniel C. Scott United States
Alan R. Williamson United States
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Citations per field
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Bruce A. Macher · 1×
Citations per year

Countries citing papers authored by Len C. Packman

Since Specialization
Citations

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

Fields of papers citing papers by Len C. Packman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Len C. Packman. 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 Len C. Packman. The network helps show where Len C. Packman may publish in the future.

Co-authors

The 25 scholars most cited alongside Len C. Packman, 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 Len C. Packman Line = papers co-authored together Len C. Packman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993185
2 2001171
3 1994170
4 1991148
5 2001121
6 1998119
7 2000107
8 2004100
9 200687
10 201267
11 200463
12 200860
13 201451
14 199949
15 200436
16
ABRF-PRG03: phosphorylation site determination.
200329
17 201228
18 200423
19 201021
20 199511

About Len C. Packman

Len C. Packman is a scholar working on Spectroscopy, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology and Physiology, having authored 22 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (5 papers), RNA Research and Splicing (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Glycosylation and Glycoproteins Research (2 papers), Protease and Inhibitor Mechanisms (1 paper), Protein Tyrosine Phosphatases (1 paper), Liver physiology and pathology (1 paper) and Genomics and Chromatin Dynamics (1 paper). The work is most often cited by research in Endocrinology (98 citations), Spectroscopy (179 citations), Molecular Biology (703 citations), Biochemistry (48 citations) and Physiology (28 citations). Len C. Packman has collaborated with scholars based in United Kingdom, Germany and Italy. Frequent co-authors include G Hale, Herman Waldmann, Vassilis E. Koronakis, Peter L. D. Stanley, Colin Hughes, Walter B. Becker, Masahide Tone, D. Janine Sherrier, Tracy A. Prime and Paul Dupree. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Journal, Blood, European Journal of Immunology and European Journal of Biochemistry.

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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