D.J. Franks

1.1k citations
28 papers · 888 · h-index 15

Impact in

  • Physiology top 5%
    • Adenosine and Purinergic Signaling
    • Nitric Oxide and Endothelin Effects
  • Hepatology top 10%
    • Liver physiology and pathology

Papers in

D.J. Franks

28 papers receiving 824 citations

Peers

D.J. Franks
Comparison fields: 5 of 90
  • Physiology 54
  • Hepatology 56
  • Endocrinology, Diabetes and Metabolism 108
  • Molecular Biology 424
  • Physiology 148
Replace Tomas Welbourne with:
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Citations per field
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Citations per year

Countries citing papers authored by D.J. Franks

Since Specialization
Citations

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

Fields of papers citing papers by D.J. Franks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1972145
2 197183
3 197783
4 197179
5 197170
6 198460
7 199456
8
Cushing syndrome with food-dependent periodic hormonogenesis.
198749
9 200439
10 197839
11 197131
12 200329
13 200226
14 199218
15 197116
16 197214
17
Interpretation of data obtained from primed lymphocyte tests (PLTs).
197714
18 19728
19 19837
20
Modulation of a renal estrogen receptor by protein kinase C.
19945

About D.J. Franks

D.J. Franks is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Pharmacology, Oncology and Physiology, having authored 28 papers that have together received 888 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (4 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers), Inflammatory mediators and NSAID effects (3 papers), Cell death mechanisms and regulation (3 papers), Nitric Oxide and Endothelin Effects (2 papers), Phosphodiesterase function and regulation (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and Health Systems, Economic Evaluations, Quality of Life (2 papers). The work is most often cited by research in Physiology (54 citations), Hepatology (56 citations), Endocrinology, Diabetes and Metabolism (108 citations), Molecular Biology (424 citations) and Physiology (148 citations). D.J. Franks has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include John P. MacManus, Pavel Hamet, T. Youdale, J. F. Whitfield, B. Braceland, M.S. Manku, David F. Horrobin, Josée Plamondon, Maura Simboli-Campbell and JoEllen Welsh. Their work appears in journals such as Value in Health, Biochemical and Biophysical Research Communications, Journal of Cellular Physiology, Journal of Biological Chemistry and Cellular Signalling.

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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