Maxwell A. Gyamfi
- Molecular Biology
- Plant Science top 5%
- Biochemistry top 1%
- Epidemiology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Yoko AniyaMasato YonamineYu‐Jui Yvonne WanCurtis D. KlaassenLin HeFrank J. GonzalezRonnie L. YeagerYuji Tanaka
- Topics
- Peroxisome Proliferator-Activated Receptors (10 papers)Liver Disease Diagnosis and Treatment (9 papers)Pharmacogenetics and Drug Metabolism (8 papers)
- Journals
- Journal of Biological ChemistryInternational Journal of Molecular SciencesArteriosclerosis Thrombosis and Vascular Biology
- Partner nations
- United StatesJapanAustralia
In The Last Decade
Maxwell A. Gyamfi
34 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Molecular Biology 682
- Plant Science 483
- Biochemistry 433
- Epidemiology 374
- Endocrinology, Diabetes and Metabolism 359
Countries citing papers authored by Maxwell A. Gyamfi
This map shows the geographic impact of Maxwell A. Gyamfi'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 Maxwell A. Gyamfi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maxwell A. Gyamfi more than expected).
Fields of papers citing papers by Maxwell A. Gyamfi
This network shows the impact of papers produced by Maxwell A. Gyamfi. 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 Maxwell A. Gyamfi. The network helps show where Maxwell A. Gyamfi may publish in the future.
Co-authorship network of co-authors of Maxwell A. Gyamfi
This figure shows the co-authorship network connecting the top 25 collaborators of Maxwell A. Gyamfi. A scholar is included among the top collaborators of Maxwell A. Gyamfi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maxwell A. Gyamfi. Maxwell A. Gyamfi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 5 | |
| 5 | 21 | |
| 6 | 42 | |
| 7 | 15 | |
| 8 | 25 | |
| 9 | 14 | |
| 10 | 33 | |
| 11 | 81 | |
| 12 | 17 | |
| 13 | 215 | |
| 14 | 47 | |
| 15 | 44 | |
| 16 | 30 | |
| 17 | 29 | |
| 18 | 7 | |
| 19 | 86 | |
| 20 | 52 |
About Maxwell A. Gyamfi
Maxwell A. Gyamfi is a scholar working on Pharmacology, Endocrinology, Diabetes and Metabolism and Pathology and Forensic Medicine, having authored 35 papers that have together received 2.0k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (10 papers), Liver Disease Diagnosis and Treatment (9 papers) and Pharmacogenetics and Drug Metabolism (8 papers). The work is most often cited by research in Biochemistry (433 citations), Pharmacology (335 citations) and Endocrinology, Diabetes and Metabolism (359 citations). Maxwell A. Gyamfi has collaborated with scholars based in United States, Japan and Australia. Frequent co-authors include Yoko Aniya, Masato Yonamine, Yu‐Jui Yvonne Wan, Curtis D. Klaassen, Lin He, Frank J. Gonzalez, Ronnie L. Yeager, Yuji Tanaka, Grace L. Guo and Lauren M. Aleksunes. Their work appears in journals such as Journal of Biological Chemistry, International Journal of Molecular Sciences and Arteriosclerosis Thrombosis and Vascular Biology.
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.