Mark E. Lauer
Impact in
- Cell Biology top 2%
- Proteoglycans and glycosaminoglycans research
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
Papers in
- Cell Biology 31
- Proteoglycans and glycosaminoglycans research 31
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- Cell Adhesion Molecules Research 5
- Co-authors
- Vincent Hascall (27 shared papers)Mark A. Aronica (7 shared papers)Aimin Wang (5 shared papers)Shadi Swaidani (6 shared papers)Carol de la Motte (2 shared papers)Georgiana Cheng (4 shared papers)Durba Mukhopadhyay (5 shared papers)Raed A. Dweik (4 shared papers)
- Journals
- Journal of Biological Chemistry (17 papers)Matrix Biology (5 papers)Investigative Ophthalmology & Visual Science (1 paper)Glycobiology (1 paper)Nature Immunology (1 paper)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Mark E. Lauer
41 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 110
- Cell Biology 783
- Immunology and Allergy 142
- Immunology 264
- Cancer Research 175
- Molecular Biology 626
Countries citing papers authored by Mark E. Lauer
This map shows the geographic impact of Mark E. Lauer'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 Mark E. Lauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark E. Lauer more than expected).
Fields of papers citing papers by Mark E. Lauer
This network shows the impact of papers produced by Mark E. Lauer. 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 Mark E. Lauer. The network helps show where Mark E. Lauer may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark E. Lauer, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 169 | |
| 2 | 2011 | 120 | |
| 3 | 2011 | 94 | |
| 4 | 2016 | 75 | |
| 5 | 2011 | 70 | |
| 6 | 2008 | 69 | |
| 7 | 2011 | 65 | |
| 8 | 2015 | 64 | |
| 9 | 2016 | 61 | |
| 10 | 2014 | 59 | |
| 11 | 2012 | 56 | |
| 12 | 2012 | 50 | |
| 13 | 2012 | 44 | |
| 14 | 2008 | 42 | |
| 15 | 2018 | 39 | |
| 16 | 2012 | 39 | |
| 17 | 2015 | 38 | |
| 18 | 2014 | 36 | |
| 19 | 2014 | 36 | |
| 20 | 2016 | 35 |
About Mark E. Lauer
Mark E. Lauer is a scholar working on Cell Biology, Immunology and Allergy, Molecular Biology, Physiology and Immunology, having authored 42 papers that have together received 1.6k indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (31 papers), Fibroblast Growth Factor Research (11 papers), Glycosylation and Glycoproteins Research (10 papers), Asthma and respiratory diseases (6 papers), Cell Adhesion Molecules Research (5 papers), Neonatal Respiratory Health Research (3 papers), Platelet Disorders and Treatments (3 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Cell Biology (783 citations), Immunology and Allergy (142 citations), Immunology (264 citations), Cancer Research (175 citations) and Molecular Biology (626 citations). Mark E. Lauer has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Vincent Hascall, Mark A. Aronica, Aimin Wang, Shadi Swaidani, Carol de la Motte, Georgiana Cheng, Durba Mukhopadhyay, Raed A. Dweik, SUZY A. A. COMHAIR and Csaba Fülöp. Their work appears in journals such as Journal of Biological Chemistry, Matrix Biology, Investigative Ophthalmology & Visual Science, Glycobiology and Nature Immunology.
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.