Chad Smith
Impact in
- Aging top 5%
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
Papers in
-
- Pluripotent Stem Cells Research 2
- Cancer-related gene regulation 2
- CRISPR and Genetic Engineering 2
- RNA Research and Splicing 1
-
- Cell Adhesion Molecules Research 8
- Co-authors
- Benoît De Crombrugghe (6 shared papers)Heidi Eberspaecher (7 shared papers)Jérôme Rossert (3 shared papers)Guang Zhou (4 shared papers)Krish Mukhopadhyay (4 shared papers)Jan Parker‐Thornburg (3 shared papers)Silvio Garofalo (4 shared papers)Min Zhang (1 shared paper)
- Journals
- Matrix Biology (3 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of Cell Science (1 paper)Laboratory Animals (1 paper)Annals of the New York Academy of Sciences (1 paper)
- Partner nations
- United StatesItaly
In The Last Decade
Chad Smith
14 papers receiving 772 citations
Peers
Comparison fields: 5 of 72
- Aging 38
- Immunology and Allergy 109
- Rheumatology 182
- Business and International Management 20
- Genetics 261
Countries citing papers authored by Chad Smith
This map shows the geographic impact of Chad Smith'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 Chad Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chad Smith more than expected).
Fields of papers citing papers by Chad Smith
This network shows the impact of papers produced by Chad Smith. 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 Chad Smith. The network helps show where Chad Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside Chad Smith, 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 | 2014 | 226 | |
| 2 | 1996 | 130 | |
| 3 | 1995 | 122 | |
| 4 | 1996 | 119 | |
| 5 | 1996 | 84 | |
| 6 | 1993 | 46 | |
| 7 | 1996 | 14 | |
| 8 | 2015 | 9 | |
| 9 | 1978 | 8 | |
| 10 | 2020 | 6 | |
| 11 | 1997 | 6 | |
| 12 | 1996 | 5 | |
| 13 | 2005 | 4 | |
| 14 | 1996 | 4 |
About Chad Smith
Chad Smith is a scholar working on Molecular Biology, Immunology and Allergy, Rheumatology, Genetics and Cell Biology, having authored 14 papers that have together received 783 indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (8 papers), Osteoarthritis Treatment and Mechanisms (5 papers), Animal Genetics and Reproduction (2 papers), Pluripotent Stem Cells Research (2 papers), Bone and Dental Protein Studies (2 papers), Cancer-related gene regulation (2 papers), CRISPR and Genetic Engineering (2 papers) and RNA Research and Splicing (1 paper). The work is most often cited by research in Aging (38 citations), Immunology and Allergy (109 citations), Rheumatology (182 citations), Business and International Management (20 citations) and Genetics (261 citations). Chad Smith has collaborated with scholars based in United States and Italy. Frequent co-authors include Benoît De Crombrugghe, Heidi Eberspaecher, Jérôme Rossert, Guang Zhou, Krish Mukhopadhyay, Jan Parker‐Thornburg, Silvio Garofalo, Min Zhang, James F. Martin and Shuo‐Ting Yen. Their work appears in journals such as Matrix Biology, Proceedings of the National Academy of Sciences, Journal of Cell Science, Laboratory Animals and Annals of the New York Academy of Sciences.
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.