Lois E. Top

741 citations
9 papers · 616 · h-index 8

Impact in

  • Immunology top 5%
    • T-cell and Retrovirus Studies
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • Animal Disease Management and Epidemiology

Papers in

Lois E. Top

9 papers receiving 580 citations

Peers

Lois E. Top
Comparison fields: 5 of 48
  • Immunology 434
  • Agronomy and Crop Science 140
  • Ecology, Evolution, Behavior and Systematics 179
  • Oncology 168
  • Radiology, Nuclear Medicine and Imaging 115
Replace Tatsuro Joh with:
Tatsuro Joh Japan
S Konda Japan
Motoi Maeda Japan
Kana Washio Japan
Yasuyuki Onimaru Japan
Riko Kawano Japan
Yoshimi Ueshima United States
Gita Hariri United Kingdom
Nobuaki Adachi Japan
Teruhisa Otsuka Japan
Lois E. Top relative to Tatsuro Joh Japan Tatsuro Joh's profile →
Citations per field
00.5×1.5×
Tatsuro Joh · 1×
Citations per year

Countries citing papers authored by Lois E. Top

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Lois E. Top Line = papers co-authored together Lois E. Top links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 1993186
2 2005137
3
Similarities and differences in 111In- and 90Y-labeled 1B4M-DTPA antiTac monoclonal antibody distribution.
199976
4 199860
5 200159
6 200556
7 199529
8 19937
9 19926

About Lois E. Top

Lois E. Top is a scholar working on Immunology, Ecology, Evolution, Behavior and Systematics, Agronomy and Crop Science, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine, having authored 9 papers that have together received 616 indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (6 papers), Vector-Borne Animal Diseases (4 papers), Animal Disease Management and Epidemiology (3 papers), Immunotherapy and Immune Responses (2 papers), Immune Cell Function and Interaction (2 papers), Radiopharmaceutical Chemistry and Applications (1 paper), Monoclonal and Polyclonal Antibodies Research (1 paper) and Lymphoma Diagnosis and Treatment (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 (179 citations), Oncology (168 citations) and Radiology, Nuclear Medicine and Imaging (115 citations). Lois E. Top has collaborated with scholars based in United States, Switzerland and Japan. 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, Advances in experimental medicine and biology, Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Cancer.

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.

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