Matthew C. Lorence

1.3k citations
20 papers · 1.1k · h-index 15

Impact in

Papers in

    • Microbial Metabolic Engineering and Bioproduction 3
    • Sexual Differentiation and Disorders 3
    • Photosynthetic Processes and Mechanisms 2
    • Pharmacogenetics and Drug Metabolism 9

Matthew C. Lorence

20 papers receiving 1.0k citations

Peers

Matthew C. Lorence
Comparison fields: 5 of 81
  • Pharmacology 287
  • Endocrinology, Diabetes and Metabolism 369
  • Reproductive Medicine 121
  • Genetics 313
  • Behavioral Neuroscience 27
Replace Norio Kagawa with:
Norio Kagawa United States
Kapila Ratnam United States
Muhammad Akhtar United Kingdom
Harry J. Brodie United States
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Gilles Leblanc Canada
Georges Teutsch France
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Citations per field
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Citations per year

Countries citing papers authored by Matthew C. Lorence

Since Specialization
Citations

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

Fields of papers citing papers by Matthew C. Lorence

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 1990186
2 1990134
3 1989126
4 1990106
5 199292
6 199192
7 198473
8 199060
9 199150
10 199138
11 198923
12 199220
13 198318
14 199016
15 201415
16 19909
17 19907
18 19905
19 19893
20 20101

About Matthew C. Lorence

Matthew C. Lorence is a scholar working on Molecular Biology, Pharmacology, Endocrinology, Diabetes and Metabolism, Genetics and Cell Biology, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (9 papers), Hormonal Regulation and Hypertension (6 papers), Aldose Reductase and Taurine (4 papers), Bacterial Genetics and Biotechnology (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Sexual Differentiation and Disorders (3 papers), Hormonal and reproductive studies (2 papers) and Photosynthetic Processes and Mechanisms (2 papers). The work is most often cited by research in Pharmacology (287 citations), Endocrinology, Diabetes and Metabolism (369 citations), Reproductive Medicine (121 citations), Genetics (313 citations) and Behavioral Neuroscience (27 citations). Matthew C. Lorence has collaborated with scholars based in United States and Japan. Frequent co-authors include J. Ian Mason, John M. Trant, J.A. Peterson, Barbara A. Murry, Bilal Amarneh, Sandra E. Graham-Lorence, Kevin J. Doody, Evan R. Simpson, Claud S. Rupert and E R Simpson. Their work appears in journals such as Journal of Biological Chemistry, Journal of Bacteriology, Molecular and Cellular Endocrinology, Molecular Endocrinology and Endocrinology.

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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