Heidi Hoffmann
Impact in
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- Bone Metabolism and Diseases
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- TGF-β signaling in diseases
- dental development and anomalies
- Rheumatology top 10%
- Bone and Dental Protein Studies
Papers in
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- Bone Metabolism and Diseases 4
- TGF-β signaling in diseases 3
- RNA Research and Splicing 3
- RNA and protein synthesis mechanisms 2
- RNA modifications and cancer 2
- dental development and anomalies 2
- Genetics 2
- Co-authors
- Jane B. Lian (5 shared papers)André J. van Wijnen (5 shared papers)Paula J. Grabowski (2 shared papers)Gary S. Stein (3 shared papers)Z Wang (1 shared paper)Janet L. Stein (4 shared papers)Tim L. Beumer (2 shared papers)Baruch Frenkel (1 shared paper)
- Journals
- Journal of Cellular Biochemistry (2 papers)Proceedings of the National Academy of Sciences (1 paper)Genes & Development (1 paper)Connective Tissue Research (1 paper)Molecular Endocrinology (1 paper)
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
Heidi Hoffmann
8 papers receiving 616 citations
Peers
Comparison fields: 5 of 61
- Molecular Biology 528
- Rheumatology 97
- Oncology 108
- Genetics 42
- Orthopedics and Sports Medicine 29
Countries citing papers authored by Heidi Hoffmann
This map shows the geographic impact of Heidi Hoffmann'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 Heidi Hoffmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heidi Hoffmann more than expected).
Fields of papers citing papers by Heidi Hoffmann
This network shows the impact of papers produced by Heidi Hoffmann. 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 Heidi Hoffmann. The network helps show where Heidi Hoffmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Heidi Hoffmann, 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 | 1997 | 249 | |
| 2 | 1994 | 123 | |
| 3 | Intrinsic U2AF binding is modulated by exon enhancer signals in parallel with changes in splicing activity. | 1995 | 123 |
| 4 | 1990 | 62 | |
| 5 | 1996 | 52 | |
| 6 | 1996 | 15 | |
| 7 | 2013 | 11 | |
| 8 | 2000 | 7 |
About Heidi Hoffmann
Heidi Hoffmann is a scholar working on Molecular Biology, Genetics, Pediatrics, Perinatology and Child Health, Oncology and Rheumatology, having authored 8 papers that have together received 642 indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (4 papers), TGF-β signaling in diseases (3 papers), RNA Research and Splicing (3 papers), RNA and protein synthesis mechanisms (2 papers), RNA modifications and cancer (2 papers), dental development and anomalies (2 papers), Cell Adhesion Molecules Research (1 paper) and Acute Lymphoblastic Leukemia research (1 paper). The work is most often cited by research in Molecular Biology (528 citations), Rheumatology (97 citations), Oncology (108 citations), Genetics (42 citations) and Orthopedics and Sports Medicine (29 citations). Heidi Hoffmann has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Jane B. Lian, André J. van Wijnen, Paula J. Grabowski, Gary S. Stein, Z Wang, Janet L. Stein, Tim L. Beumer, Baruch Frenkel, Dwight A. Towler and Hyun‐Mo Ryoo. Their work appears in journals such as Journal of Cellular Biochemistry, Proceedings of the National Academy of Sciences, Genes & Development, Connective Tissue Research and Molecular Endocrinology.
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.