J. Grange

1.3k total citations · 1 hit paper
19 papers, 1.1k citations indexed

About

J. Grange is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, J. Grange has authored 19 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Immunology. Recurrent topics in J. Grange's work include Monoclonal and Polyclonal Antibodies Research (5 papers), HIV Research and Treatment (3 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). J. Grange is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (5 papers), HIV Research and Treatment (3 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). J. Grange collaborates with scholars based in France, United Kingdom and Germany. J. Grange's co-authors include Graça Raposo, Guy Schoehn, Magali Court, Yves Goldberg, J. Garin, Rémy Sadoul, Véronique Boyer, Béatrice Blot, Julien Fauré and Johannes Hirrlinger and has published in prestigious journals such as Nucleic Acids Research, Analytical Biochemistry and Journal of Virology.

In The Last Decade

J. Grange

18 papers receiving 1.0k citations

Hit Papers

Exosomes are released by cultured cortical neurones 2006 2026 2012 2019 2006 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
J. Grange France 9 824 344 101 101 74 19 1.1k
Guihua Sun United States 20 2.0k 2.5× 1.3k 3.7× 135 1.3× 94 0.9× 116 1.6× 35 2.5k
E. H. Macintyre United States 10 465 0.6× 77 0.2× 143 1.4× 44 0.4× 46 0.6× 15 1.1k
William C. Clay United States 18 955 1.2× 230 0.7× 48 0.5× 51 0.5× 26 0.4× 27 1.6k
Tyler Hickman United States 12 1.6k 1.9× 208 0.6× 233 2.3× 93 0.9× 20 0.3× 14 2.1k
Hailiang Ge China 16 569 0.7× 107 0.3× 205 2.0× 84 0.8× 24 0.3× 38 1.2k
Jinyun Yuan United States 17 311 0.4× 141 0.4× 74 0.7× 32 0.3× 111 1.5× 32 844
Jennifer K. Sabo Australia 16 737 0.9× 88 0.3× 32 0.3× 93 0.9× 36 0.5× 21 1.2k
Rajendra K. Pandey United States 14 1.3k 1.5× 316 0.9× 78 0.8× 9 0.1× 33 0.4× 22 1.6k
Mark N. Bobrow United States 6 758 0.9× 57 0.2× 32 0.3× 23 0.2× 35 0.5× 9 1.2k
Nadine Tarantino France 17 478 0.6× 278 0.8× 29 0.3× 43 0.4× 17 0.2× 32 1.1k

Countries citing papers authored by J. Grange

Since Specialization
Citations

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

Fields of papers citing papers by J. Grange

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Grange

This figure shows the co-authorship network connecting the top 25 collaborators of J. Grange. A scholar is included among the top collaborators of J. Grange based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J. Grange. J. Grange is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Fauré, Julien, Magali Court, Johannes Hirrlinger, et al.. (2006). Exosomes are released by cultured cortical neurones. Molecular and Cellular Neuroscience. 31(4). 642–648. 728 indexed citations breakdown →
2.
Biron, F., D. Peyramond, A. Frésard, et al.. (1996). Pilot clinical trial of the combination of hydroxyurea and didanosine in HIV-1 infected individuals. Antiviral Research. 29(1). 111–113. 23 indexed citations
3.
Biron, F., D. Peyramond, A. Frésard, et al.. (1995). Anti-HIV Activity of the Combination of Didanosine and Hydroxyurea in HIV-1-Infected Individuals. Journal of Acquired Immune Deficiency Syndromes & Human Retrovirology. 10(1). 36???40–36???40. 44 indexed citations
4.
Tournaire, Roselyne, et al.. (1994). Therapeutic effects of D‐aspartic acid β‐hydroxamate (DAH) on friend erythroleukemia. International Journal of Cancer. 58(3). 420–425. 15 indexed citations
6.
Noraz, Nelly, J. Grange, Mehdi Gasmi, et al.. (1993). Production and Characterization of a Monoclonal Antibody Directed Against HTLV-1 pl9: Use in a Specific Capture Enzyme Immunoassay. Hybridoma. 12(2). 185–195. 3 indexed citations
7.
Reynaud, C., et al.. (1992). Monitoring of urinary excretion of modified nucleosides in cancer patients using a set of six monoclonal antibodies. Cancer Letters. 61(3). 255–262. 98 indexed citations
8.
Thomasset, Nicole, Roselyne Tournaire, Claudine Navarro, et al.. (1991). Anti‐tumoral activity of L and D isomers of aspartic acid β‐hydroxamate on L5178Y leukemia. International Journal of Cancer. 49(3). 421–424. 16 indexed citations
9.
Legastelois, Stéphane, Jean‐Paul Steghens, & J. Grange. (1991). Creatine kinase BB produced by murine hybridomas but not by parental cells. Biochemical and Biophysical Research Communications. 179(3). 1529–1535. 1 indexed citations
10.
Boudon‐Padieu, E., et al.. (1989). Obtention d'anticorps monoclonaux spécifiques de l'agent pathogène de type mycoplasme (MLO) de la flavescence dorée de la vigne. Research in Microbiology. 140(4). 311–324. 13 indexed citations
11.
Boudon‐Padieu, E., et al.. (1989). Monoclonal antibodies to the mycoplasma-like organism (MLO) responsible for grapevine flavescence dorée.. Research in Microbiology. 140. 311–324. 3 indexed citations
12.
Nodet, Patrice, J. Grange, & Michel Fèvre. (1988). Dot-blot assays and their use as a direct antigen-binding method to screen monoclonal antibodies to 1,4-β-and 1,3-β-glucan synthases. Analytical Biochemistry. 174(2). 662–665. 8 indexed citations
13.
Dave, J. R., J. Paul Taylor, J. Grange, & H. Gaya. (1986). A new enzyme-linked fluorescence assay (ELFA) for use with peroxidase-antibody conjugates: a comparison with ELISA for the quantitation of IgM antibodies to hepatitis B core antigen. Journal of Medical Microbiology. 21(3). 271–274. 2 indexed citations
14.
Roch, A.M., et al.. (1980). An automatic continuous flow method for the determination of antipolyamine antibodies in human sera. Journal of Immunological Methods. 33(2). 159–173. 8 indexed citations
15.
Quash, G, et al.. (1978). The preparation of latex particles with covalently bound polyamines, IgG and measles agglutinins and their use in visual agglutination tests. Journal of Immunological Methods. 22(1-2). 165–174. 73 indexed citations
16.
Grange, J., et al.. (1977). Nephelometric assay of antigens and antibodies with latex particles. Journal of Immunological Methods. 18(3-4). 365–375. 33 indexed citations
18.
Jacquemont, B., J. Grange, Louis Gazzolo, & Magali Richard. (1972). Composition and Size of Shope Fibroma Virus Deoxyribonucleic Acid. Journal of Virology. 9(5). 836–841. 7 indexed citations
19.
Jacquemont, B., Magali Richard, & J. Grange. (1971). Failure to Detect Homology between the DNA of the Shope Fibroma Virus and the DNA of the Sensitive Cell. Journal of General Virology. 10(3). 237–242. 5 indexed citations

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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