D.J. Franks

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

D.J. Franks

28 papers receiving 820 citations

Peers

D.J. Franks
Comparison fields: 5 of 91
  • Physiology 54
  • Hepatology 56
  • Endocrinology, Diabetes and Metabolism 111
  • Molecular Biology 431
  • Biochemistry 43
Replace Douglas J. Franks with:
Douglas J. Franks Canada
Kun Wook Chung South Korea
Tomas Welbourne United States
Takenobu Kamada Japan
Kamal D. Mehta United States
Susan C. Olson United States
J H Gronich United States
Dayoung Oh United States
Helmut Kipp Germany
Frédéric Percevault France
D.J. Franks relative to Douglas J. Franks Canada Douglas J. Franks's profile →
Citations per field
00.5×3.7×
Douglas J. Franks · 1×
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-authorship network

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
#Work
1 20143
2 20141
3 20141
4 20142
5 200439
6 200226
7 199456
8
Modulation of a renal estrogen receptor by protein kinase C.
19945
9 199218
10 19903
11 19881
12 198460
13 197839
14
Interpretation of data obtained from primed lymphocyte tests (PLTs).
197714
15 197783
16 1972145
17 197183
18 197131
19 197179
20 19704

About D.J. Franks

D.J. Franks is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Pharmacology, Physiology and Molecular Biology, having authored 28 papers that have together received 888 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (4 papers), Cell death mechanisms and regulation (3 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers), Inflammatory mediators and NSAID effects (3 papers), Nitric Oxide and Endothelin Effects (2 papers), Biochemical and Molecular Research (2 papers), Diabetes Management and Research (2 papers) and Pancreatic and Hepatic Oncology Research (2 papers). The work is most often cited by research in Physiology (54 citations), Hepatology (56 citations), Endocrinology, Diabetes and Metabolism (111 citations), Molecular Biology (431 citations) and Biochemistry (43 citations). D.J. Franks has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include John P. MacManus, Pavel Hamet, T. Youdale, J. F. Whitfield, B. Braceland, David F. Horrobin, M.S. Manku, Josée Plamondon, Maura Simboli-Campbell and AnneMarie Gagnon. Their work appears in journals such as Value in Health, Journal of Cellular Physiology, Biochemical and Biophysical Research Communications, 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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