James E. Metherall
- Genetics top 5%
- Hemoglobinopathies and Related Disorders 5
- Animal Genetics and Reproduction 3
- Biochemistry top 5%
- Biotechnology top 5%
- Immunology top 10%
- Molecular Biology top 10%
- RNA modifications and cancer 5
- Steroid Chemistry and Biochemistry 4
- RNA and protein synthesis mechanisms 4
- RNA Research and Splicing 3
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- Cholesterol and Lipid Metabolism 7
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- Iron Metabolism and Disorders 3
- Co-authors
- David W. RussellJoseph G. NaglichLeon EidelsHuijuan LiJoseph L. GoldsteinMichael S. BrownK L LuskeyDeborah W. Neklason
- Cited by
- GeneticsBiochemistryBiotechnology
- Journals
- Journal of Biological Chemistry (6 papers)Molecular and Cellular Biology (3 papers)Genes & Development (1 paper)
- Partner nations
- United StatesPolandGermany
In The Last Decade
James E. Metherall
23 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 86
- Genetics 160
- Biochemistry 102
- Biotechnology 121
- Immunology 283
- Molecular Biology 877
Countries citing papers authored by James E. Metherall
This map shows the geographic impact of James E. Metherall'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 James E. Metherall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James E. Metherall more than expected).
Fields of papers citing papers by James E. Metherall
This network shows the impact of papers produced by James E. Metherall. 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 James E. Metherall. The network helps show where James E. Metherall may publish in the future.
Co-authorship network
The 25 scholars most cited alongside James E. Metherall, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 17 | |
| 2 | 2002 | 31 | |
| 3 | 2000 | 23 | |
| 4 | 1999 | 23 | |
| 5 | 1999 | 26 | |
| 6 | 1997 | 115 | |
| 7 | 1996 | 77 | |
| 8 | 1996 | 98 | |
| 9 | 1996 | 29 | |
| 10 | 1993 | 16 | |
| 11 | 1993 | 26 | |
| 12 | 1992 | 440 | |
| 13 | 1991 | 33 | |
| 14 | 1991 | 45 | |
| 15 | 1989 | 152 | |
| 16 | Analyses of linked beta-globin genes suggest that nondeletion forms of hereditary persistence of fetal hemoglobin are bona fide switching mutants. | 1988 | 10 |
| 17 | 1987 | 20 | |
| 18 | 1986 | 40 | |
| 19 | 1985 | 164 | |
| 20 | 1985 | 10 |
About James E. Metherall
James E. Metherall is a scholar working on Genetics, Molecular Biology and Biochemistry, having authored 23 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (7 papers), RNA modifications and cancer (5 papers), Hemoglobinopathies and Related Disorders (5 papers), Steroid Chemistry and Biochemistry (4 papers), RNA and protein synthesis mechanisms (4 papers), Iron Metabolism and Disorders (3 papers), Animal Genetics and Reproduction (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Genetics (160 citations), Biochemistry (102 citations) and Biotechnology (121 citations). James E. Metherall has collaborated with scholars based in United States, Poland and Germany. Frequent co-authors include David W. Russell, Joseph G. Naglich, Leon Eidels, Huijuan Li, Joseph L. Goldstein, Michael S. Brown, K L Luskey, Deborah W. Neklason, Bernard G. Forget and Kathleen Waugh. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Biology, Genes & Development, The EMBO Journal and Journal of Lipid Research.
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.