Jacqueline E. Testa

2.5k citations
23 papers · 2.2k · h-index 17

Impact in

Papers in

Jacqueline E. Testa

23 papers receiving 2.1k citations

Peers

Jacqueline E. Testa
Comparison fields: 5 of 70
  • Endocrinology 98
  • Immunology and Allergy 104
  • Spectroscopy 237
  • Biomaterials 169
  • Parasitology 113
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Citations per field
00.5×10×20×30×39.5×
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Citations per year

Countries citing papers authored by Jacqueline E. Testa

Since Specialization
Citations

This map shows the geographic impact of Jacqueline E. Testa'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 Jacqueline E. Testa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacqueline E. Testa more than expected).

Fields of papers citing papers by Jacqueline E. Testa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jacqueline E. Testa. 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 Jacqueline E. Testa. The network helps show where Jacqueline E. Testa may publish in the future.

Co-authors

The 25 scholars most cited alongside Jacqueline E. Testa, 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 Jacqueline E. Testa Line = papers co-authored together Jacqueline E. Testa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004408
2 2004372
3 2007260
4 1995170
5 1998163
6 1990147
7
Eukaryotic expression cloning with an antimetastatic monoclonal antibody identifies a tetraspanin (PETA-3/CD151) as an effector of human tumor cell migration and metastasis.
1999141
8 2003115
9 200596
10 198483
11 201468
12 198445
13
Loss of the metastatic phenotype by a human epidermoid carcinoma cell line, HEp-3, is accompanied by increased expression of tissue inhibitor of metalloproteinase 2.
199233
14 198922
15 200321
16 200920
17 199718
18 199114
19 198813
20 198813

About Jacqueline E. Testa

Jacqueline E. Testa is a scholar working on Cancer Research, Endocrinology, Cell Biology, Radiology, Nuclear Medicine and Imaging and Immunology and Allergy, having authored 23 papers that have together received 2.2k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (7 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Caveolin-1 and cellular processes (2 papers), Vibrio bacteria research studies (2 papers), Vector-borne infectious diseases (1 paper), Cancer Cells and Metastasis (1 paper), Angiogenesis and VEGF in Cancer (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Endocrinology (98 citations), Immunology and Allergy (104 citations), Spectroscopy (237 citations), Biomaterials (169 citations) and Parasitology (113 citations). Jacqueline E. Testa has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Jan E. Schnitzer, Phil Oh, J. P. Quigley, Jingyi Yu, Eberhard Dürr, Lucy A. Carver, Karolina M. Krasinska, Yan Li, James P. Quigley and John R. Yates. Their work appears in journals such as Infection and Immunity, JNCI Journal of the National Cancer Institute, Nature Biotechnology, Proceedings of the National Academy of Sciences and Journal of Vascular Research.

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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