Martin J. Pine

1.0k citations
32 papers · 848 · h-index 15

Impact in

Papers in

    • Microbial Metabolic Engineering and Bioproduction 5
    • RNA and protein synthesis mechanisms 5
    • Protein Structure and Dynamics 4
    • RNA modifications and cancer 3
    • Polyamine Metabolism and Applications 3
    • Bacterial Genetics and Biotechnology 9

Martin J. Pine

31 papers receiving 722 citations

Peers

Martin J. Pine
Comparison fields: 5 of 86
  • Biochemistry 93
  • Biotechnology 73
  • Molecular Biology 576
  • Clinical Biochemistry 47
  • Aging 10
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Citations per year

Countries citing papers authored by Martin J. Pine

Since Specialization
Citations

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

Fields of papers citing papers by Martin J. Pine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin J. Pine. 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 Martin J. Pine. The network helps show where Martin J. Pine may publish in the future.

Co-authors

The 11 scholars most cited alongside Martin J. Pine, 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 Martin J. Pine Line = papers co-authored together Martin J. Pine links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1972167
2 1967101
3 195673
4 197072
5 196543
6 197340
7 196939
8
The antimitochondrial action of 2-choloro-4', 4"-bis(2-imidazolin-2-yl)terephthalanilide and methylglyoxal bis(guanylhydrazone).
196635
9 195735
10 196628
11 196923
12 196922
13 195921
14 197819
15 195418
16
ACTION OF THE PHTHALANILIDE DRUGS ON ESCHERICHIA COLI.
196314
17 197313
18 196011
19 196311
20 197810

About Martin J. Pine

Martin J. Pine is a scholar working on Molecular Biology, Genetics, Biochemistry, Materials Chemistry and Cancer Research, having authored 32 papers that have together received 848 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (9 papers), Amino Acid Enzymes and Metabolism (6 papers), Enzyme Structure and Function (6 papers), Microbial Metabolic Engineering and Bioproduction (5 papers), RNA and protein synthesis mechanisms (5 papers), Protein Structure and Dynamics (4 papers), RNA modifications and cancer (3 papers) and Polyamine Metabolism and Applications (3 papers). The work is most often cited by research in Biochemistry (93 citations), Biotechnology (73 citations), Molecular Biology (576 citations), Clinical Biochemistry (47 citations) and Aging (10 citations). Martin J. Pine has collaborated with scholars based in United States. Frequent co-authors include H.A. Barker, Wolf Vishniac, Joseph A. DiPaolo, Robert Guthrie, Barbara Gordon, F.C. Wissler, Robert P. Huben, Anthony E. Pegg, Fred G. Bock and E. A. Mirand. Their work appears in journals such as Journal of Bacteriology, The Journal of Urology, Antimicrobial Agents and Chemotherapy, Nutrition and Cancer and JNCI Journal of the National Cancer Institute.

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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