J. Michael Salbaum
Impact in
- Physiology top 0.1%
- Alzheimer's disease research and treatments
- Biological Psychiatry top 1%
Papers in
-
- Gestational Diabetes Research and Management 11
- Pregnancy and preeclampsia studies 9
- Physiology 22
- Alzheimer's disease research and treatments 12
- Adipose Tissue and Metabolism 6
- Co-authors
- Konrad BeyreutherColin L. MastersGerd MulthaupJie KangBenno Müller‐HillAxel UnterbeckKarl‐Heinz GrzeschikClaudia Kappen
- Journals
- Birth Defects Research Part A Clinical and Molecular Teratology (6 papers)Scientific Reports (4 papers)Alzheimer Disease & Associated Disorders (4 papers)The EMBO Journal (3 papers)PLoS ONE (3 papers)
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
J. Michael Salbaum
73 papers receiving 8.5k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Physiology 5.6k
- Biological Psychiatry 423
- Neurology 733
- Molecular Biology 5.3k
- Pharmacology 1.1k
Countries citing papers authored by J. Michael Salbaum
This map shows the geographic impact of J. Michael Salbaum'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. Michael Salbaum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Michael Salbaum more than expected).
Fields of papers citing papers by J. Michael Salbaum
This network shows the impact of papers produced by J. Michael Salbaum. 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. Michael Salbaum. The network helps show where J. Michael Salbaum may publish in the future.
Co-authorship network
The 25 scholars most cited alongside J. Michael Salbaum, 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 | 2024 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 4 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 5 | |
| 6 | 2022 | 5 | |
| 7 | 2022 | 2 | |
| 8 | 2020 | 31 | |
| 9 | 2019 | 20 | |
| 10 | 2019 | 8 | |
| 11 | 2018 | 2 | |
| 12 | 2018 | 25 | |
| 13 | 2018 | 9 | |
| 14 | 2012 | 25 | |
| 15 | 2011 | 32 | |
| 16 | 2004 | 7 | |
| 17 | 1998 | 24 | |
| 18 | 1998 | 42 | |
| 19 | 1990 | 16 | |
| 20 | 1988 | 31 |
About J. Michael Salbaum
J. Michael Salbaum is a scholar working on Obstetrics and Gynecology, Physiology, Biological Psychiatry, Pediatrics, Perinatology and Child Health and Molecular Biology, having authored 75 papers that have together received 8.7k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (12 papers), Gestational Diabetes Research and Management (11 papers), Birth, Development, and Health (11 papers), Pregnancy and preeclampsia studies (9 papers), Prion Diseases and Protein Misfolding (8 papers), Adipose Tissue and Metabolism (6 papers), Congenital heart defects research (5 papers) and Epigenetics and DNA Methylation (5 papers). The work is most often cited by research in Physiology (5.6k citations), Biological Psychiatry (423 citations), Neurology (733 citations), Molecular Biology (5.3k citations) and Pharmacology (1.1k citations). J. Michael Salbaum has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Konrad Beyreuther, Colin L. Masters, Gerd Multhaup, Jie Kang, Benno Müller‐Hill, Axel Unterbeck, Karl‐Heinz Grzeschik, Claudia Kappen, Andreas Weidemann and Peter Fischer. Their work appears in journals such as Birth Defects Research Part A Clinical and Molecular Teratology, Scientific Reports, Alzheimer Disease & Associated Disorders, The EMBO Journal and PLoS ONE.
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.