Leonard C. Packman

3.0k citations
62 papers · 2.5k · h-index 30

Impact in

Papers in

    • Chemical Synthesis and Analysis 7
    • Biochemical and Molecular Research 6
    • RNA and protein synthesis mechanisms 5
    • Biochemical Acid Research Studies 22
    • Amino Acid Enzymes and Metabolism 11

Leonard C. Packman

62 papers receiving 2.4k citations

Peers

Leonard C. Packman
Comparison fields: 5 of 102
  • Biochemistry 775
  • Clinical Biochemistry 548
  • Molecular Biology 1.6k
  • Molecular Medicine 66
  • Microbiology 71
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Citations per year

Countries citing papers authored by Leonard C. Packman

Since Specialization
Citations

This map shows the geographic impact of Leonard 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 Leonard 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 Leonard C. Packman more than expected).

Fields of papers citing papers by Leonard C. Packman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Leonard 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 Leonard C. Packman Line = papers co-authored together Leonard 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 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995149
2 1989149
3 1991137
4 1979112
5 1993108
6 1985103
7 198977
8 198475
9 199773
10 199473
11 198670
12 199663
13 198959
14 199159
15 199158
16 198856
17 199154
18 199051
19 198749
20
Molecular genetics of a receptor protein for D-xylose, encoded by the gene xylF, in Escherichia coli.
199548

About Leonard C. Packman

Leonard C. Packman is a scholar working on Molecular Biology, Biochemistry, Clinical Biochemistry, Materials Chemistry and Pharmacology, having authored 62 papers that have together received 2.5k indexed citations. Recurring topics across this work include Biochemical Acid Research Studies (22 papers), Metabolism and Genetic Disorders (21 papers), Enzyme Structure and Function (12 papers), Amino Acid Enzymes and Metabolism (11 papers), Chemical Synthesis and Analysis (7 papers), Biochemical and Molecular Research (6 papers), Alcoholism and Thiamine Deficiency (5 papers) and RNA and protein synthesis mechanisms (5 papers). The work is most often cited by research in Biochemistry (775 citations), Clinical Biochemistry (548 citations), Molecular Biology (1.6k citations), Molecular Medicine (66 citations) and Microbiology (71 citations). Leonard C. Packman has collaborated with scholars based in United Kingdom, United States and South Sudan. Frequent co-authors include Richard N. Perham, Dudley H. Williams, Mark S. Searle, Sandra Robb, Peter D. Evans, Nigel S. Scrutton, Lloyd D. Graham, John C. Gray, William V. Shaw and F. Scott Mathews. Their work appears in journals such as Biochemical Journal, FEBS Letters, European Journal of Biochemistry, Biochemistry and Journal of the Chemical Society Perkin Transactions 1.

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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