R Lampis

647 total citations
9 papers, 453 citations indexed

About

R Lampis is a scholar working on Immunology, Genetics and Surgery. According to data from OpenAlex, R Lampis has authored 9 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 4 papers in Genetics and 2 papers in Surgery. Recurrent topics in R Lampis's work include Diabetes and associated disorders (4 papers), T-cell and B-cell Immunology (4 papers) and Immune Cell Function and Interaction (4 papers). R Lampis is often cited by papers focused on Diabetes and associated disorders (4 papers), T-cell and B-cell Immunology (4 papers) and Immune Cell Function and Interaction (4 papers). R Lampis collaborates with scholars based in Italy, United Kingdom and United States. R Lampis's co-authors include S. De Virgiliis, Francesco Cucca, Mauro Congia, Franco Frau, Maria Eliana Lai, Anna Paola Mazzoleni, C. Dessì, Maria Grazia Clemente, Laura Morelli and Antonio Cao and has published in prestigious journals such as Nucleic Acids Research, Hepatology and Diabetes.

In The Last Decade

R Lampis

9 papers receiving 436 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
R Lampis Italy	8	176	142	141	116	101	9	453
Alia Hasham United States	8	182 1.0×	95 0.7×	88 0.6×	36 0.3×	98 1.0×	11	452
Hisanori Uchida Japan	12	74 0.4×	46 0.3×	48 0.3×	240 2.1×	80 0.8×	26	482
F. Taillard France	7	190 1.1×	102 0.7×	17 0.1×	71 0.6×	86 0.9×	12	345
Giorgina Mieli-Vergani United Kingdom	11	56 0.3×	304 2.1×	368 2.6×	154 1.3×	33 0.3×	14	549
James D. Perkins United States	9	18 0.1×	90 0.6×	162 1.1×	207 1.8×	85 0.8×	21	413
Chikako Shima Japan	7	194 1.1×	140 1.0×	15 0.1×	21 0.2×	166 1.6×	9	381
Ana Maria Yamamoto France	12	83 0.5×	246 1.7×	287 2.0×	74 0.6×	76 0.8×	14	587
M. Guzail United Kingdom	7	32 0.2×	119 0.8×	94 0.7×	43 0.4×	22 0.2×	9	354
U Kadish Israel	11	205 1.2×	150 1.1×	53 0.4×	164 1.4×	51 0.5×	37	483
M Beaton Canada	4	25 0.1×	161 1.1×	137 1.0×	125 1.1×	20 0.2×	7	274

Countries citing papers authored by R Lampis

Since Specialization

Citations

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

Fields of papers citing papers by R Lampis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R Lampis

This figure shows the co-authorship network connecting the top 25 collaborators of R Lampis. A scholar is included among the top collaborators of R Lampis 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 R Lampis. R Lampis 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

Maioli, Margherita, Giovanni Mario Pes, Giuseppe Delitala, et al.. (2010). Number of autoantibodies and HLA genotype, more than high titers of glutamic acid decarboxylase autoantibodies, predict insulin dependence in latent autoimmune diabetes of adults. European Journal of Endocrinology. 163(4). 541–549. 63 indexed citations

Cucca, Francesco, Frank Dudbridge, R Lampis, et al.. (2001). The HLA-DPB1–Associated Component of the IDDM1 and Its Relationship to the Major Loci HLA-DQB1, -DQA1, and -DRB1. Diabetes. 50(5). 1200–1205. 56 indexed citations

Lampis, R. (2000). The inter-regional distribution of HLA class II haplotypes indicates the suitability of the Sardinian population for case-control association studies in complex diseases. Human Molecular Genetics. 9(20). 2959–2965. 62 indexed citations

Lampis, R, Laura Morelli, S. De Virgiliis, Mauro Congia, & Francesco Cucca. (2000). The distribution of HLA class II haplotypes reveals that the Sardinian population is genetically differentiated from the other Caucasian populations. Tissue Antigens. 56(6). 515–521. 56 indexed citations

Cucca, Francesco, Zeng B. Zhu, Fausto Cossu, et al.. (1998). Evaluation of IgA deficiency in Sardinians indicates a susceptibility gene is encoded within the HLA class III region. Clinical & Experimental Immunology. 111(1). 76–80. 31 indexed citations

Congia, Mauro, Maria Grazia Clemente, C. Dessì, et al.. (1996). Hla Class Ii Genes in Chronic Hepatitis C Virus–Infection and Associated Immunological Disorders. Hepatology. 24(6). 1338–1341. 73 indexed citations

Clemente, Maria Grazia, Mauro Congia, Maria Eliana Lai, et al.. (1994). Effect of iron overload on the response to recombinant interferon-alfa treatment in transfusion-dependent patients with thalassemia major and chronic hepatitis C. The Journal of Pediatrics. 125(1). 123–128. 91 indexed citations

Lampis, R, et al.. (1991). A Pvull RFLP at D6S114E locus in the HLA region (RING4 locus). Nucleic Acids Research. 19(24). 6974–6974. 2 indexed citations

Figus, A, R Lampis, Marcella Devoto, et al.. (1989). Carrier detection and early diagnosis of Wilson's disease by restriction fragment length polymorphism analysis.. Journal of Medical Genetics. 26(2). 78–82. 19 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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