J. Biehl
Impact in
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- Muscle Physiology and Disorders
- Viral Infectious Diseases and Gene Expression in Insects
- Developmental Biology and Gene Regulation
- Congenital heart defects research
- RNA Research and Splicing
- Ubiquitin and proteasome pathways
- Genetics top 10%
- Virus-based gene therapy research
Papers in
-
- Muscle Physiology and Disorders 3
- Congenital heart defects research 2
- Viral Infectious Diseases and Gene Expression in Insects 1
- Genetics, Bioinformatics, and Biomedical Research 1
- Genetics 5
- Virus-based gene therapy research 3
- Connective tissue disorders research 1
- Co-authors
- Howard Holtzer (13 shared papers)Maurizio Pacifici (4 shared papers)Robert M. Cohen (1 shared paper)S. Holtzer (6 shared papers)Akira Kaji (1 shared paper)George C. Yeoh (1 shared paper)John Brumbaugh (2 shared papers)S.R. Dienstman (2 shared papers)
- Journals
- Results and problems in cell differentiation (1 paper)Nature (1 paper)Cellular and Molecular Life Sciences (1 paper)Cell (1 paper)Developmental Biology (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
J. Biehl
14 papers receiving 701 citations
Peers
Comparison fields: 5 of 84
- Molecular Biology 602
- Genetics 202
- Cell Biology 116
- Immunology and Allergy 31
- Animal Science and Zoology 47
Countries citing papers authored by J. Biehl
This map shows the geographic impact of J. Biehl'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 J. Biehl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Biehl more than expected).
Fields of papers citing papers by J. Biehl
This network shows the impact of papers produced by J. Biehl. 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 J. Biehl. The network helps show where J. Biehl may publish in the future.
Co-authors
The 24 scholars most cited alongside J. Biehl, 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 | 1977 | 236 | |
| 2 | 1975 | 161 | |
| 3 | 1977 | 105 | |
| 4 | 1974 | 99 | |
| 5 | 1975 | 66 | |
| 6 | Quantal and proliferative cell cycles: how lineages generate cell diversity and maintain fidelity. | 1983 | 30 |
| 7 | 1972 | 25 | |
| 8 | 1974 | 22 | |
| 9 | 1975 | 15 | |
| 10 | 1985 | 12 | |
| 11 | Cell diversification: differing roles of cell lineages and cell-cell interactions. | 1982 | 9 |
| 12 | 1980 | 5 | |
| 13 | 1978 | 3 | |
| 14 | Induction-dependent and lineage-dependent models for cell diversification are mutually exclusive. | 1985 | 3 |
About J. Biehl
J. Biehl is a scholar working on Molecular Biology, Genetics, Cell Biology, Surgery and Small Animals, having authored 14 papers that have together received 791 indexed citations. Recurring topics across this work include Virus-based gene therapy research (3 papers), Muscle Physiology and Disorders (3 papers), Congenital heart defects research (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Connective tissue disorders research (1 paper), Genetics, Bioinformatics, and Biomedical Research (1 paper), Mycotoxins in Agriculture and Food (1 paper) and Telomeres, Telomerase, and Senescence (1 paper). The work is most often cited by research in Molecular Biology (602 citations), Genetics (202 citations), Cell Biology (116 citations), Immunology and Allergy (31 citations) and Animal Science and Zoology (47 citations). J. Biehl has collaborated with scholars based in United States and Japan. Frequent co-authors include Howard Holtzer, Maurizio Pacifici, Robert M. Cohen, S. Holtzer, Akira Kaji, George C. Yeoh, John Brumbaugh, S.R. Dienstman, David Boettiger and Kate A. W. Roby. Their work appears in journals such as Results and problems in cell differentiation, Nature, Cellular and Molecular Life Sciences, Cell and Developmental 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.