Helmut Romig
Impact in
- Physiology top 2%
- Alzheimer's disease research and treatments
- Cell Biology top 5%
- Cellular transport and secretion
Papers in
-
- Genomics and Chromatin Dynamics 3
- S100 Proteins and Annexins 2
- Physiology 13
- Alzheimer's disease research and treatments 13
- Co-authors
- Christian Haass (12 shared papers)Harald Steiner (9 shared papers)Ralf Baumeister (7 shared papers)Brigitte Pesold (6 shared papers)Anja Capell (7 shared papers)Martin Citron (4 shared papers)Melissa G. Grim (4 shared papers)Frank O. Fackelmayer (2 shared papers)
- Journals
- Journal of Biological Chemistry (5 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)Biochemistry (2 papers)Nature Cell Biology (2 papers)SLAS DISCOVERY (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Helmut Romig
23 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 83
- Physiology 1.1k
- Cell Biology 386
- Pharmacology 333
- Aging 35
- Molecular Biology 1.1k
Countries citing papers authored by Helmut Romig
This map shows the geographic impact of Helmut Romig'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 Helmut Romig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Helmut Romig more than expected).
Fields of papers citing papers by Helmut Romig
This network shows the impact of papers produced by Helmut Romig. 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 Helmut Romig. The network helps show where Helmut Romig may publish in the future.
Co-authors
The 25 scholars most cited alongside Helmut Romig, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 264 | |
| 2 | 2000 | 233 | |
| 3 | 1992 | 221 | |
| 4 | 1998 | 172 | |
| 5 | 2000 | 132 | |
| 6 | 1999 | 119 | |
| 7 | 1999 | 108 | |
| 8 | 2001 | 93 | |
| 9 | 1999 | 78 | |
| 10 | 2000 | 74 | |
| 11 | 2001 | 74 | |
| 12 | 2017 | 37 | |
| 13 | 1994 | 36 | |
| 14 | 1997 | 35 | |
| 15 | 1990 | 35 | |
| 16 | 2000 | 33 | |
| 17 | 1990 | 32 | |
| 18 | 2017 | 14 | |
| 19 | 2014 | 13 | |
| 20 | 2014 | 12 |
About Helmut Romig
Helmut Romig is a scholar working on Molecular Biology, Physiology, Oncology, Cell Biology and Pharmacology, having authored 23 papers that have together received 1.8k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (13 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Cellular transport and secretion (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Genomics and Chromatin Dynamics (3 papers), S100 Proteins and Annexins (2 papers), Cholinesterase and Neurodegenerative Diseases (2 papers) and Polyomavirus and related diseases (2 papers). The work is most often cited by research in Physiology (1.1k citations), Cell Biology (386 citations), Pharmacology (333 citations), Aging (35 citations) and Molecular Biology (1.1k citations). Helmut Romig has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Christian Haass, Harald Steiner, Ralf Baumeister, Brigitte Pesold, Anja Capell, Martin Citron, Melissa G. Grim, Frank O. Fackelmayer, Andrea Renz and A. Richter. Their work appears in journals such as Journal of Biological Chemistry, Bioorganic & Medicinal Chemistry Letters, Biochemistry, Nature Cell Biology and SLAS DISCOVERY.
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.