J Uriel

81 papers receiving 1.7k citations

Peers

J Uriel
Comparison fields: 5 of 109
  • Hepatology 131
  • Virology 67
  • Reproductive Medicine 119
  • Molecular Biology 823
  • Cancer Research 179
Replace Hiroaki Higashitsuji with:
Hiroaki Higashitsuji Japan
Yongde Bao United States
Jaroslav Činátl Germany
H F Kung United States
Tadao Funato Japan
Suofu Qin United States
M.J. O’Hare United Kingdom
Yongyu Shi China
Giacomo Paonessa Italy
E. Aubrey Thompson United States
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Citations per field
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Hiroaki Higashitsuji · 1×
Citations per year

Countries citing papers authored by J Uriel

Since Specialization
Citations

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

Fields of papers citing papers by J Uriel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J Uriel. 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 Uriel. The network helps show where J Uriel may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 19969
2 199610
3 199615
4 19953
5 19954
6
In vitro evaluation of the differential cytotoxicity of keto-C-glycosides toward normal and malignant cells.
19931
7 199323
8
Activated human T lymphocytes express albumin binding proteins which cross-react with alpha-fetoprotein.
199229
9 199110
10 19906
11 198915
12 198568
13 198312
14 19782
15 19693
16
Association of embryonic antigens with experimentally induced hepatic lesions in the rat.
196791
17
Characterization of enzymatic activity types in antigenic extracts of A. fumigatus by agar electrophoresis and immunoelectrophoresis.
19664
18
[Use of dyes in electrophoretic and immuno-electrophoretic analyses in gel media].
195629
19
[Electrophoresis on gelose and staining of the constituents].
195515
20
[Immuno-electrophoretic study of normal human cerebrospinal fluid].
195514

About J Uriel

J Uriel is a scholar working on Cancer Research, Structural Biology, Virology, Pediatrics, Perinatology and Child Health and Biotechnology, having authored 83 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cancer, Lipids, and Metabolism (7 papers), Erythrocyte Function and Pathophysiology (6 papers), Prenatal Screening and Diagnostics (6 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Birth, Development, and Health (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Reproductive Biology and Fertility (3 papers). The work is most often cited by research in Hepatology (131 citations), Virology (67 citations), Reproductive Medicine (119 citations), Molecular Biology (823 citations) and Cancer Research (179 citations). J Uriel has collaborated with scholars based in France, Spain and Belgium. Frequent co-authors include Béatrice de Néchaud, Javier Naval, Jerzy Trojan, P Grabar, Maurice Geuskens, Christine Mercier-Bodard, Christian Aussel, Antonio Macho, Juan María Torres and Jorge Laborda. Their work appears in journals such as International Journal of Cancer, British Journal of Cancer, Clinica Chimica Acta, Tumor Biology and Developmental Neuroscience.

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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