Jacqueline E. Testa

22 papers receiving 2.1k citations

Peers

Jacqueline E. Testa
Comparison fields: 5 of 108
  • Immunology and Allergy 308
  • Endocrinology 125
  • Cancer Research 327
  • Parasitology 141
  • Cell Biology 313
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Heini M. Miettinen United States
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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 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004408
2 2004368
3 2007252
4 1995172
5 1998163
6 1990149
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.
1999140
8 2003106
9 200595
10 198483
11 201469
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 198923
15 200920
16 200320
17 199719
18 197715
19 198813
20 200913

About Jacqueline E. Testa

Jacqueline E. Testa is a scholar working on Molecular Biology, Cancer Research, Radiology, Nuclear Medicine and Imaging, Hematology and Oncology, having authored 22 papers that have together received 2.2k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Cell Adhesion Molecules Research (4 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers), Glycosylation and Glycoproteins Research (3 papers), Peptidase Inhibition and Analysis (3 papers), S100 Proteins and Annexins (2 papers) and Vibrio bacteria research studies (2 papers). The work is most often cited by research in Immunology and Allergy (308 citations), Endocrinology (125 citations), Cancer Research (327 citations), Parasitology (141 citations) and Cell Biology (313 citations). Jacqueline E. Testa has collaborated with scholars based in United States, Switzerland and Czechia. Frequent co-authors include Phil Oh, Jan E. Schnitzer, J. P. Quigley, Jingyi Yu, Eberhard Dürr, Lucy A. Carver, Karolina Krasinska, Yan Li, John R. Yates and James P. Quigley. Their work appears in journals such as Infection and Immunity, Nature Biotechnology, Proceedings of the National Academy of Sciences, The Journal of Immunology and Biochemical and Biophysical Research Communications.

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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