Lars Öhman
Impact in
- Genetics top 0.5%
- Estrogen and related hormone effects
- Toxicology top 0.5%
- Bioactive Compounds and Antitumor Agents
Papers in ⓘ
-
- Hormonal Regulation and Hypertension 4
- Co-authors
- Mats Carlquist (3 shared papers)Owe Engström (3 shared papers)Zbigniew Dauter (2 shared papers)Roderick E. Hubbard (2 shared papers)A.M. Brzozowski (2 shared papers)Tomas Bonn (2 shared papers)A.C.W. Pike (2 shared papers)Geoffrey L. Greene (2 shared papers)
- Journals
- Journal of Biotechnology (2 papers)Hypertension (2 papers)Metabolism (2 papers)Journal of Biological Chemistry (1 paper)Bioorganic & Medicinal Chemistry Letters (1 paper)
- Partner nations
- United StatesSwedenAustralia
In The Last Decade
Lars Öhman
12 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Genetics 2.3k
- Toxicology 236
- Endocrinology, Diabetes and Metabolism 569
- Computational Theory and Mathematics 419
- Molecular Biology 1.6k
Countries citing papers authored by Lars Öhman
This map shows the geographic impact of Lars Öhman'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 Lars Öhman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lars Öhman more than expected).
Fields of papers citing papers by Lars Öhman
This network shows the impact of papers produced by Lars Öhman. 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 Lars Öhman. The network helps show where Lars Öhman may publish in the future.
Co-authors
The 25 scholars most cited alongside Lars Öhman, 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 | Molecular basis of agonism and antagonism in the oestrogen receptor Hit paper breakdown → | 1997 | 2711 |
| 2 | 2003 | 277 | |
| 3 | 1997 | 75 | |
| 4 | 1997 | 73 | |
| 5 | 1999 | 55 | |
| 6 | 2000 | 47 | |
| 7 | 2007 | 38 | |
| 8 | Brzozowski, A M. et al. Molecular basis of agonism and antagonism in the estrogen receptor. Nature 389, 753-758 | 1997 | 37 |
| 9 | 1991 | 25 | |
| 10 | 2006 | 12 | |
| 11 | 2006 | 8 | |
| 12 | 1994 | 8 |
About Lars Öhman
Lars Öhman is a scholar working on Endocrinology, Diabetes and Metabolism, Toxicology, Genetics, Pharmacology and Cellular and Molecular Neuroscience, having authored 12 papers that have together received 3.4k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (4 papers), Hormonal Regulation and Hypertension (4 papers), Pancreatic function and diabetes (2 papers), Neuropeptides and Animal Physiology (2 papers), Electrolyte and hormonal disorders (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Inflammatory mediators and NSAID effects (1 paper) and Cardiovascular Syncope and Autonomic Disorders (1 paper). The work is most often cited by research in Genetics (2.3k citations), Toxicology (236 citations), Endocrinology, Diabetes and Metabolism (569 citations), Computational Theory and Mathematics (419 citations) and Molecular Biology (1.6k citations). Lars Öhman has collaborated with scholars based in United States, Sweden and Australia. Frequent co-authors include Mats Carlquist, Owe Engström, Zbigniew Dauter, Roderick E. Hubbard, A.M. Brzozowski, Tomas Bonn, A.C.W. Pike, Geoffrey L. Greene, Jan-Ακε Gustafsson and Magnus Doverskog. Their work appears in journals such as Journal of Biotechnology, Hypertension, Metabolism, Journal of Biological Chemistry and Bioorganic & Medicinal Chemistry Letters.
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.