Lee H. Pai
- Immunology top 5%
- Radiology, Nuclear Medicine and Imaging top 2%
- Molecular Biology
- Biotechnology top 1%
- Oncology top 10%
- Co-authors
- Ira PastanMark C. WillinghamUlrich BrinkmannKai ChangD J FitzGeraldJanendra K. BatraDavid J. FitzGeraldRobert E. Wittes
- Topics
- Toxin Mechanisms and Immunotoxins (25 papers)Monoclonal and Polyclonal Antibodies Research (15 papers)Transgenic Plants and Applications (14 papers)
- Partner nations
- United StatesUnited KingdomAustria
In The Last Decade
Lee H. Pai
37 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 93
- Immunology 766
- Radiology, Nuclear Medicine and Imaging 699
- Molecular Biology 599
- Biotechnology 469
- Oncology 392
Countries citing papers authored by Lee H. Pai
This map shows the geographic impact of Lee H. Pai'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 Lee H. Pai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lee H. Pai more than expected).
Fields of papers citing papers by Lee H. Pai
This network shows the impact of papers produced by Lee H. Pai. 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 Lee H. Pai. The network helps show where Lee H. Pai may publish in the future.
Co-authorship network of co-authors of Lee H. Pai
This figure shows the co-authorship network connecting the top 25 collaborators of Lee H. Pai. A scholar is included among the top collaborators of Lee H. Pai 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 Lee H. Pai. Lee H. Pai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 30 | |
| 3 | 11 | |
| 4 | 15 | |
| 5 | 19 | |
| 6 | 159 | |
| 7 | 14 | |
| 8 | 29 | |
| 9 | 26 | |
| 10 | 38 | |
| 11 | Transforming growth factor-beta1 circulates in normal human plasma and is unchanged in advanced metastatic breast cancer. | 139 |
| 12 | 38 | |
| 13 | 18 | |
| 14 | 9 | |
| 15 | 40 | |
| 16 | 11 | |
| 17 | Preclinical evaluation of 111In-labeled B3 monoclonal antibody: biodistribution and imaging studies in nude mice bearing human epidermoid carcinoma xenografts. | 25 |
| 18 | 5 | |
| 19 | 137 | |
| 20 | 40 |
About Lee H. Pai
Lee H. Pai is a scholar working on Biotechnology, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 37 papers that have together received 1.8k indexed citations. Recurring topics across this work include Toxin Mechanisms and Immunotoxins (25 papers), Monoclonal and Polyclonal Antibodies Research (15 papers) and Transgenic Plants and Applications (14 papers). The work is most often cited by research in Biotechnology (469 citations), Immunology (766 citations) and Radiology, Nuclear Medicine and Imaging (699 citations). Lee H. Pai has collaborated with scholars based in United States, United Kingdom and Austria. Frequent co-authors include Ira Pastan, Mark C. Willingham, Ira Pastan, Ulrich Brinkmann, Kai Chang, D J FitzGerald, Janendra K. Batra, David J. FitzGerald, Robert E. Wittes and Ann Setser. Their work appears in journals such as Proceedings of the National Academy of Sciences, JAMA and Nature Medicine.
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.