Lois E. Top
Impact in
- Immunology top 5%
- T-cell and Retrovirus Studies
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Agronomy and Crop Science top 5%
- Animal Disease Management and Epidemiology
Papers in
-
- T-cell and Retrovirus Studies 7
- Immune Cell Function and Interaction 2
- Immunotherapy and Immune Responses 2
-
- Vector-Borne Animal Diseases 5
- Co-authors
- Sara Zaknoen (4 shared papers)Claude Kasten-Sportès (4 shared papers)Richard N. Bamford (3 shared papers)Jeffrey D. White (6 shared papers)Erich Roessler (3 shared papers)Andrew Grant (2 shared papers)Thomas A. Waldmann (5 shared papers)C K Goldman (2 shared papers)
- Journals
- Blood (2 papers)Cancer (1 paper)Journal of Clinical Oncology (1 paper)Advances in experimental medicine and biology (1 paper)Annals of Neurology (1 paper)
- Partner nations
- United StatesSwitzerlandJamaica
In The Last Decade
Lois E. Top
9 papers receiving 557 citations
Peers
Comparison fields: 5 of 49
- Immunology 434
- Agronomy and Crop Science 140
- Ecology, Evolution, Behavior and Systematics 180
- Oncology 176
- Radiology, Nuclear Medicine and Imaging 116
Countries citing papers authored by Lois E. Top
This map shows the geographic impact of Lois E. Top'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 Lois E. Top with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lois E. Top more than expected).
Fields of papers citing papers by Lois E. Top
This network shows the impact of papers produced by Lois E. Top. 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 Lois E. Top. The network helps show where Lois E. Top may publish in the future.
Co-authors
The 25 scholars most cited alongside Lois E. Top, 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 | 1993 | 177 | |
| 2 | 2005 | 127 | |
| 3 | Similarities and differences in 111In- and 90Y-labeled 1B4M-DTPA antiTac monoclonal antibody distribution. | 1999 | 72 |
| 4 | 1998 | 59 | |
| 5 | 2001 | 55 | |
| 6 | 2005 | 51 | |
| 7 | 1995 | 29 | |
| 8 | 1993 | 7 | |
| 9 | 1992 | 6 |
About Lois E. Top
Lois E. Top is a scholar working on Immunology, Ecology, Evolution, Behavior and Systematics, Agronomy and Crop Science, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 9 papers that have together received 583 indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (7 papers), Vector-Borne Animal Diseases (5 papers), Animal Disease Management and Epidemiology (3 papers), Lymphoma Diagnosis and Treatment (2 papers), Immune Cell Function and Interaction (2 papers), Immunotherapy and Immune Responses (2 papers), vaccines and immunoinformatics approaches (1 paper) and Monoclonal and Polyclonal Antibodies Research (1 paper). The work is most often cited by research in Immunology (434 citations), Agronomy and Crop Science (140 citations), Ecology, Evolution, Behavior and Systematics (180 citations), Oncology (176 citations) and Radiology, Nuclear Medicine and Imaging (116 citations). Lois E. Top has collaborated with scholars based in United States, Switzerland and Jamaica. Frequent co-authors include Sara Zaknoen, Claude Kasten-Sportès, Richard N. Bamford, Jeffrey D. White, Erich Roessler, Andrew Grant, Thomas A. Waldmann, C K Goldman, Waldmann Ta and V. Ellen Maher. Their work appears in journals such as Blood, Cancer, Journal of Clinical Oncology, Advances in experimental medicine and biology and Annals of Neurology.
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.