F Latron

456 total citations
9 papers, 406 citations indexed

About

F Latron is a scholar working on Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, F Latron has authored 9 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in F Latron's work include Immunotherapy and Immune Responses (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Glycosylation and Glycoproteins Research (2 papers). F Latron is often cited by papers focused on Immunotherapy and Immune Responses (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Glycosylation and Glycoproteins Research (2 papers). F Latron collaborates with scholars based in France, United States and United Kingdom. F Latron's co-authors include Jack L. Strominger, Robert J. Moots, Andrew McMichael, Jo Morrison, Dominique Blanchard, Jean‐Pierre Cartron, Roberto S. Accolla, John Elvin, Léonardo Scarpellino and Frances Gotch and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

F Latron

9 papers receiving 388 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
F Latron France	8	273	148	60	50	47	9	406
L Lachman United States	5	239 0.9×	102 0.7×	21 0.3×	79 1.6×	56 1.2×	6	367
K Nakamuro United States	9	221 0.8×	146 1.0×	31 0.5×	133 2.7×	30 0.6×	11	358
Periasamy Selvaraj United States	5	306 1.1×	215 1.5×	37 0.6×	225 4.5×	55 1.2×	7	526
Masaru Taniguchi Japan	7	424 1.6×	110 0.7×	20 0.3×	30 0.6×	35 0.7×	8	524
H. Scott Cameron United States	7	86 0.3×	231 1.6×	47 0.8×	63 1.3×	45 1.0×	8	430
G.G. D’Ancona United States	8	151 0.6×	206 1.4×	31 0.5×	164 3.3×	76 1.6×	10	441
Rachel Soloff United States	11	211 0.8×	159 1.1×	18 0.3×	16 0.3×	24 0.5×	17	391
P Björck Sweden	12	410 1.5×	101 0.7×	21 0.3×	49 1.0×	18 0.4×	14	484
MW Fanger United States	8	157 0.6×	146 1.0×	17 0.3×	118 2.4×	147 3.1×	12	417
Silvana Pessano United States	9	205 0.8×	204 1.4×	23 0.4×	145 2.9×	94 2.0×	12	449

Countries citing papers authored by F Latron

Since Specialization

Citations

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

Fields of papers citing papers by F Latron

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F Latron

This figure shows the co-authorship network connecting the top 25 collaborators of F Latron. A scholar is included among the top collaborators of F Latron 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 F Latron. F Latron is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Latron, F, Laszlo Pazmany, Jo Morrison, et al.. (1992). A Critical Role for Conserved Residues in the Cleft of HLA-A2 in Presentation of a Nonapeptide to T Cells. Science. 257(5072). 964–967. 67 indexed citations

Morrison, Jo, John Elvin, F Latron, et al.. (1992). Identification of the nonamer peptide from influenza A matrix protein and the role of pockets of HLA‐A2 in its recognition by cytotoxic T lymphocytes. European Journal of Immunology. 22(4). 903–907. 103 indexed citations

Latron, F, Robert J. Moots, Jonathan B. Rothbard, et al.. (1991). Positioning of a peptide in the cleft of HLA-A2 by complementing amino acid changes.. Proceedings of the National Academy of Sciences. 88(24). 11325–11329. 33 indexed citations

Dellabona, Paolo, F Latron, Antonella Maffei, Léonardo Scarpellino, & Roberto S. Accolla. (1989). Transcriptional control of MHC class II gene expression during differentiation from B cells to plasma cells.. The Journal of Immunology. 142(8). 2902–2910. 38 indexed citations

Latron, F, M Jotterand-Bellomo, Antonella Maffei, et al.. (1988). Active suppression of major histocompatibility complex class II gene expression during differentiation from B cells to plasma cells.. Proceedings of the National Academy of Sciences. 85(7). 2229–2233. 49 indexed citations

Blanchard, Dominique, W. Dahr, Michael Hummel, et al.. (1987). Glycophorins B and C from human erythrocyte membranes. Purification and sequence analysis.. Journal of Biological Chemistry. 262(12). 5808–5811. 70 indexed citations

Latron, F, Dominique Blanchard, & Jean‐Pierre Cartron. (1987). Immunochemical characterization of the human blood cell membrane glycoprotein recognized by the monoclonal antibody 12E7. Biochemical Journal. 247(3). 757–764. 30 indexed citations

Boucekkine, C., et al.. (1985). Evidence of a preferential inactivation of the paternally derived X chromosome in a 46,XX true hermaphrodite. Human Genetics. 69(1). 91–93. 3 indexed citations

Latron, F, et al.. (1981). A quantitative radioimmunoassay for membranous and soluble H-Y antigen typing. Human Genetics. 58(1). 21–4. 13 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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