Pamela Leland
- Immunology top 1%
- Oncology top 5%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 5%
- Biotechnology top 1%
- Co-authors
- Raj K. PuriBharat JoshiIra PastanMichael R. HollingdaleAkiko SuzukiRobert J. KreitmanNicholas I. ObiriKoji Kawakami
- Topics
- Toxin Mechanisms and Immunotoxins (32 papers)Monoclonal and Polyclonal Antibodies Research (18 papers)Transgenic Plants and Applications (15 papers)
- Cited by
- ImmunologyBiotechnologyGenetics
- Partner nations
- United StatesJapanSpain
In The Last Decade
Pamela Leland
63 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Immunology 1.8k
- Oncology 813
- Molecular Biology 604
- Radiology, Nuclear Medicine and Imaging 431
- Biotechnology 406
Countries citing papers authored by Pamela Leland
This map shows the geographic impact of Pamela Leland'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 Pamela Leland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pamela Leland more than expected).
Fields of papers citing papers by Pamela Leland
This network shows the impact of papers produced by Pamela Leland. 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 Pamela Leland. The network helps show where Pamela Leland may publish in the future.
Co-authorship network of co-authors of Pamela Leland
This figure shows the co-authorship network connecting the top 25 collaborators of Pamela Leland. A scholar is included among the top collaborators of Pamela Leland 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 Pamela Leland. Pamela Leland is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 12 | |
| 3 | 32 | |
| 4 | 47 | |
| 5 | 184 | |
| 6 | 65 | |
| 7 | 11 | |
| 8 | 16 | |
| 9 | 12 | |
| 10 | 25 | |
| 11 | 7 | |
| 12 | Heterogeneity in interleukin-13 receptor expression and subunit structure in squamous cell carcinoma of head and neck: differential sensitivity to chimeric fusion proteins comprised of interleukin-13 and a mutated form of Pseudomonas exotoxin. | 63 |
| 13 | 10 | |
| 14 | 78 | |
| 15 | 12 | |
| 16 | 102 | |
| 17 | 8 | |
| 18 | 1 | |
| 19 | 3 | |
| 20 | 29 |
About Pamela Leland
Pamela Leland is a scholar working on Immunology, Biotechnology and Radiology, Nuclear Medicine and Imaging, having authored 64 papers that have together received 2.9k indexed citations. Recurring topics across this work include Toxin Mechanisms and Immunotoxins (32 papers), Monoclonal and Polyclonal Antibodies Research (18 papers) and Transgenic Plants and Applications (15 papers). The work is most often cited by research in Immunology (1.8k citations), Biotechnology (406 citations) and Genetics (339 citations). Pamela Leland has collaborated with scholars based in United States, Japan and Spain. Frequent co-authors include Raj K. Puri, Bharat Joshi, Ira Pastan, Michael R. Hollingdale, Akiko Suzuki, Robert J. Kreitman, Nicholas I. Obiri, Koji Kawakami, Sarah M. Russell and Atsushi Miyajima. Their work appears in journals such as Science, Journal of Biological Chemistry and Blood.
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.