Paul Lammers
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Aquatic Science top 10%
Papers in
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- RNA Interference and Gene Delivery 2
-
- Sexuality, Behavior, and Technology 3
- Co-authors
- Andreas G. Bader (3 shared papers)David T. Brown (1 shared paper)Jay Stoudemire (2 shared papers)S.E. Wendelaar Bonga (3 shared papers)Chris Torrance (1 shared paper)Jane Zhao (2 shared papers)J. C. A. van der Meij (1 shared paper)Eusebio Rubio‐Aurioles (2 shared papers)
- Journals
- International Journal of Impotence Research (2 papers)Contraception (2 papers)Cell and Tissue Research (1 paper)Fertility and Sterility (1 paper)Acta Obstetricia Et Gynecologica Scandinavica (1 paper)
- Partner nations
- United StatesNetherlandsMexico
In The Last Decade
Paul Lammers
13 papers receiving 474 citations
Peers
Comparison fields: 5 of 87
- Cancer Research 214
- Aquatic Science 35
- Psychiatry and Mental health 61
- Molecular Biology 246
- Internal Medicine 11
Countries citing papers authored by Paul Lammers
This map shows the geographic impact of Paul Lammers'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 Paul Lammers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Lammers more than expected).
Fields of papers citing papers by Paul Lammers
This network shows the impact of papers produced by Paul Lammers. 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 Paul Lammers. The network helps show where Paul Lammers may publish in the future.
Co-authors
The 25 scholars most cited alongside Paul Lammers, 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 | 2011 | 256 | |
| 2 | 2013 | 46 | |
| 3 | 1991 | 36 | |
| 4 | 2002 | 34 | |
| 5 | 1982 | 26 | |
| 6 | 1991 | 23 | |
| 7 | 2002 | 23 | |
| 8 | 1983 | 23 | |
| 9 | 2002 | 18 | |
| 10 | 1998 | 11 | |
| 11 | 1994 | 4 | |
| 12 | 2012 | 1 | |
| 13 | Effects of calcitonin on calcium metabolism and bone formation in seawater adapted fish, Sarotherodon mossambicus | 1982 | 1 |
About Paul Lammers
Paul Lammers is a scholar working on Molecular Biology, Clinical Psychology, Public Health, Environmental and Occupational Health, Psychiatry and Mental health and Cancer Research, having authored 13 papers that have together received 502 indexed citations. Recurring topics across this work include Reproductive Health and Contraception (3 papers), MicroRNA in disease regulation (3 papers), Sexual function and dysfunction studies (3 papers), Sexuality, Behavior, and Technology (3 papers), Hormonal and reproductive studies (2 papers), RNA Interference and Gene Delivery (2 papers), Aquaculture Nutrition and Growth (2 papers) and Physiological and biochemical adaptations (2 papers). The work is most often cited by research in Cancer Research (214 citations), Aquatic Science (35 citations), Psychiatry and Mental health (61 citations), Molecular Biology (246 citations) and Internal Medicine (11 citations). Paul Lammers has collaborated with scholars based in United States, Netherlands and Mexico. Frequent co-authors include Andreas G. Bader, David T. Brown, Jay Stoudemire, S.E. Wendelaar Bonga, Chris Torrance, Jane Zhao, J. C. A. van der Meij, Eusebio Rubio‐Aurioles, G. B. Melis and P. Fioretti. Their work appears in journals such as International Journal of Impotence Research, Contraception, Cell and Tissue Research, Fertility and Sterility and Acta Obstetricia Et Gynecologica Scandinavica.
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.