Lawrence J. Wysocki
- Immunology top 0.5%
- T-cell and B-cell Immunology 42
- Immune Cell Function and Interaction 23
- Immunotherapy and Immune Responses 11
- Immunodeficiency and Autoimmune Disorders 4
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- Monoclonal and Polyclonal Antibodies Research 35
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research 4
- Molecular Biology top 10%
- Glycosylation and Glycoproteins Research 4
- Protein purification and stability 3
- Genetics top 5%
- Co-authors
- Vicki L. SatoTim ManserM L GefterKatja AviszusMalcolm L. GefterMichael N. MargoliesDiana S. SmithJohn C. Cambier
- Journals
- Proceedings of the National Academy of Sciences (4 papers)The Journal of Experimental Medicine (6 papers)Annual Review of Biochemistry (2 papers)
- Partner nations
- United StatesBrazilJapan
In The Last Decade
Lawrence J. Wysocki
60 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Immunology 2.6k
- Radiology, Nuclear Medicine and Imaging 1.4k
- Immunology and Allergy 165
- Molecular Biology 1.1k
- Genetics 168
Countries citing papers authored by Lawrence J. Wysocki
This map shows the geographic impact of Lawrence J. Wysocki'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 J. Wysocki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lawrence J. Wysocki more than expected).
Fields of papers citing papers by Lawrence J. Wysocki
This network shows the impact of papers produced by Lawrence J. Wysocki. 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 J. Wysocki. The network helps show where Lawrence J. Wysocki may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lawrence J. Wysocki, 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 | 2017 | 14 | |
| 2 | 2012 | 8 | |
| 3 | 2007 | 6 | |
| 4 | 2006 | 215 | |
| 5 | 2005 | 10 | |
| 6 | 2003 | 38 | |
| 7 | 2003 | 1 | |
| 8 | 2002 | 27 | |
| 9 | 2001 | 42 | |
| 10 | 2001 | 112 | |
| 11 | 2001 | 8 | |
| 12 | 2000 | 1 | |
| 13 | 1996 | 51 | |
| 14 | 1996 | 37 | |
| 15 | 1990 | 29 | |
| 16 | 1989 | 1 | |
| 17 | 1989 | 82 | |
| 18 | 1987 | 73 | |
| 19 | 1986 | 174 | |
| 20 | 1985 | 68 |
About Lawrence J. Wysocki
Lawrence J. Wysocki is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Immunology and Allergy, having authored 60 papers that have together received 3.5k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (42 papers), Monoclonal and Polyclonal Antibodies Research (35 papers), Immune Cell Function and Interaction (23 papers), Immunotherapy and Immune Responses (11 papers), Glycosylation and Glycoproteins Research (4 papers), Immunodeficiency and Autoimmune Disorders (4 papers), Cell Adhesion Molecules Research (4 papers) and Protein purification and stability (3 papers). The work is most often cited by research in Immunology (2.6k citations), Radiology, Nuclear Medicine and Imaging (1.4k citations) and Immunology and Allergy (165 citations). Lawrence J. Wysocki has collaborated with scholars based in United States, Brazil and Japan. Frequent co-authors include Vicki L. Sato, Tim Manser, M L Gefter, Katja Aviszus, Malcolm L. Gefter, Michael N. Margolies, Diana S. Smith, John C. Cambier, Robert J. Benschop and Xianghua Zhang. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Annual Review of Biochemistry.
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.