J. Juárez
Impact in
- Cancer Research top 10%
- Protease and Inhibitor Mechanisms
- NF-κB Signaling Pathways
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
Papers in
-
- Ubiquitin and proteasome pathways 1
- Glycosylation and Glycoproteins Research 1
-
- Cell Adhesion Molecules Research 3
- Co-authors
- Rebecca J. Gum (4 shared papers)Douglas D. Boyd (3 shared papers)Ernst Lengyel (3 shared papers)H Wang (1 shared paper)Andrew P. Mazar (3 shared papers)Garth L. Nicolson (1 shared paper)Carlos Simón (1 shared paper)D. Barry Boyd (1 shared paper)
- Journals
- Oncogene (2 papers)Bioorganic & Medicinal Chemistry Letters (1 paper)Cancer Immunology Immunotherapy (1 paper)Haemophilia (1 paper)British Journal of Cancer (1 paper)
- Partner nations
- United StatesAustraliaGreece
In The Last Decade
J. Juárez
10 papers receiving 500 citations
Peers
Comparison fields: 5 of 69
- Cancer Research 233
- Immunology and Allergy 80
- Oncology 136
- Hematology 49
- Molecular Biology 233
Countries citing papers authored by J. Juárez
This map shows the geographic impact of J. Juárez'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 J. Juárez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Juárez more than expected).
Fields of papers citing papers by J. Juárez
This network shows the impact of papers produced by J. Juárez. 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 J. Juárez. The network helps show where J. Juárez may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Juárez, 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 | 1997 | 213 | |
| 2 | Induction of M(r) 92,000 type IV collagenase expression in a squamous cell carcinoma cell line by fibroblasts. | 1995 | 68 |
| 3 | 2008 | 63 | |
| 4 | Effect of PD 098059, a specific inhibitor of mitogen-activated protein kinase kinase, on urokinase expression and in vitro invasion. | 1996 | 50 |
| 5 | 1998 | 42 | |
| 6 | 2004 | 22 | |
| 7 | Up-regulation of urokinase-type plasminogen activator expression by the HER2/neu proto-oncogene. | 1995 | 21 |
| 8 | 2003 | 18 | |
| 9 | 1995 | 15 | |
| 10 | 2006 | 1 |
About J. Juárez
J. Juárez is a scholar working on Molecular Biology, Immunology and Allergy, Genetics, Oncology and Cancer Research, having authored 10 papers that have together received 513 indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (3 papers), Protease and Inhibitor Mechanisms (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper), Ubiquitin and proteasome pathways (1 paper), Glycosylation and Glycoproteins Research (1 paper), Head and Neck Cancer Studies (1 paper), Bone and Dental Protein Studies (1 paper) and Peptidase Inhibition and Analysis (1 paper). The work is most often cited by research in Cancer Research (233 citations), Immunology and Allergy (80 citations), Oncology (136 citations), Hematology (49 citations) and Molecular Biology (233 citations). J. Juárez has collaborated with scholars based in United States, Australia and Greece. Frequent co-authors include Rebecca J. Gum, Douglas D. Boyd, Ernst Lengyel, H Wang, Andrew P. Mazar, Garth L. Nicolson, Carlos Simón, D. Barry Boyd, Motoharu Seiki and Hiroshi Sato. Their work appears in journals such as Oncogene, Bioorganic & Medicinal Chemistry Letters, Cancer Immunology Immunotherapy, Haemophilia and British Journal of 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.