Lawrence M. Schwartz
- Molecular Biology top 2%
- Cellular and Molecular Neuroscience top 1%
- Immunology top 2%
- Oncology top 5%
- Atomic and Molecular Physics, and Optics top 5%
- Co-authors
- Barbara A. OsborneSallie W. SmithMargaret E. E. JonesZheng-gang LiuHannelore EhrenreichArun BansilKelly A. McLaughlinJohn R. Nambu
- Topics
- Muscle Physiology and Disorders (14 papers)RNA Research and Splicing (10 papers)Advanced Chemical Physics Studies (10 papers)
- Partner nations
- United StatesChinaNorway
In The Last Decade
Lawrence M. Schwartz
105 papers receiving 5.0k citations
Peers
Comparison fields: 5 of 150
- Molecular Biology 3.0k
- Cellular and Molecular Neuroscience 1.1k
- Immunology 933
- Oncology 514
- Atomic and Molecular Physics, and Optics 485
Countries citing papers authored by Lawrence M. Schwartz
This map shows the geographic impact of Lawrence M. Schwartz'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 Lawrence M. Schwartz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lawrence M. Schwartz more than expected).
Fields of papers citing papers by Lawrence M. Schwartz
This network shows the impact of papers produced by Lawrence M. Schwartz. 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 Lawrence M. Schwartz. The network helps show where Lawrence M. Schwartz may publish in the future.
Co-authorship network of co-authors of Lawrence M. Schwartz
This figure shows the co-authorship network connecting the top 25 collaborators of Lawrence M. Schwartz. A scholar is included among the top collaborators of Lawrence M. Schwartz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lawrence M. Schwartz. Lawrence M. Schwartz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 37 | |
| 2 | 46 | |
| 3 | 23 | |
| 4 | Measuring the Effectiveness of R&D: R&D Metrics Continue to Be an Important Topic for Measuring the Effectiveness of R&D. Practitioners Share Their Issues and Recommendations | 1 |
| 5 | 15 | |
| 6 | 5 | |
| 7 | 16 | |
| 8 | 19 | |
| 9 | 32 | |
| 10 | 9 | |
| 11 | 95 | |
| 12 | 5 | |
| 13 | 5 | |
| 14 | 9 | |
| 15 | 56 | |
| 16 | 7 | |
| 17 | 73 | |
| 18 | 337 | |
| 19 | 33 | |
| 20 | 49 |
About Lawrence M. Schwartz
Lawrence M. Schwartz is a scholar working on Aging, Molecular Biology and Immunology and Allergy, having authored 109 papers that have together received 5.1k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (14 papers), RNA Research and Splicing (10 papers) and Advanced Chemical Physics Studies (10 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.1k citations), Aging (103 citations) and Immunology (933 citations). Lawrence M. Schwartz has collaborated with scholars based in United States, China and Norway. Frequent co-authors include Barbara A. Osborne, Sallie W. Smith, Margaret E. E. Jones, Zheng-gang Liu, Hannelore Ehrenreich, Barbara A. Osborne, Arun Bansil, Kelly A. McLaughlin, John R. Nambu and Wolfhard Almers. Their work appears in journals such as Nature, Science and Cell.
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.