Michael E. Franklin

14 papers receiving 574 citations

Peers

Michael E. Franklin
Comparison fields: 5 of 83
  • Transplantation 114
  • Geriatrics and Gerontology 124
  • Hepatology 45
  • Epidemiology 159
  • Endocrinology, Diabetes and Metabolism 70
Replace Álvaro Cerda with:
Álvaro Cerda Brazil
Ganesh Cherala United States
Fabien Lamoureux France
Jason Chou United States
Johanna Sistonen Finland
Yuangao Zou China
Brian R. Knowles Australia
Jin-yu Liu China
Kari T Kivist Germany
Sarah Woolsey United States
Michael E. Franklin relative to Álvaro Cerda Brazil Álvaro Cerda's profile →
Citations per field
00.5×2×4×6×8.9×
Álvaro Cerda · 1×
Citations per year

Countries citing papers authored by Michael E. Franklin

Since Specialization
Citations

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

Fields of papers citing papers by Michael E. Franklin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael E. Franklin. 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 Michael E. Franklin. The network helps show where Michael E. Franklin may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2014264
2 201062
3 201258
4 201831
5 201031
6 199128
7 201028
8 200626
9 201124
10 201018
11 201011
12 20237
13 20215
14
The measurement of total and free mycophenolic acid by HPLC-Tandem mass spectrometry
20071

About Michael E. Franklin

Michael E. Franklin is a scholar working on Transplantation, Infectious Diseases, Pediatrics, Perinatology and Child Health, Geriatrics and Gerontology and Toxicology, having authored 14 papers that have together received 594 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (6 papers), HIV/AIDS drug development and treatment (4 papers), Biochemical and Molecular Research (2 papers), Human-Animal Interaction Studies (2 papers), Pharmacological Effects and Toxicity Studies (2 papers), Glycogen Storage Diseases and Myoclonus (1 paper), Analytical Methods in Pharmaceuticals (1 paper) and Poisoning and overdose treatments (1 paper). The work is most often cited by research in Transplantation (114 citations), Geriatrics and Gerontology (124 citations), Hepatology (45 citations), Epidemiology (159 citations) and Endocrinology, Diabetes and Metabolism (70 citations). Michael E. Franklin has collaborated with scholars based in Australia, Denmark and United Kingdom. Frequent co-authors include Paul John Taylor, Peter Ian Pillans, Graeme A. Macdonald, Kerenaftali Klein, Veronique Chachay, Trisha O'Moore‐Sullivan, Gary Cowin, Maree L. Ferguson, Jeff Scott Coombes and Gethin P. Thomas. Their work appears in journals such as Journal of Chromatography B, Therapeutic Drug Monitoring, Clinical Biochemistry, Animals and Journal of Pharmaceutical Sciences.

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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