I. Buyse

1.5k total citations
32 papers, 1.3k citations indexed

About

I. Buyse is a scholar working on Immunology, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, I. Buyse has authored 32 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Immunology, 17 papers in Genetics and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in I. Buyse's work include T-cell and B-cell Immunology (11 papers), Immune Cell Function and Interaction (9 papers) and Diabetes and associated disorders (9 papers). I. Buyse is often cited by papers focused on T-cell and B-cell Immunology (11 papers), Immune Cell Function and Interaction (9 papers) and Diabetes and associated disorders (9 papers). I. Buyse collaborates with scholars based in United States, Belgium and Canada. I. Buyse's co-authors include Gang Shao, Shi Huang, S Huang, Peter Marynen, Limin Liu, Harry Cuppens, Ronny Decorte, Marie‐Paule Emonds, Mathijs Baens and Benjamin B. Roa and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Genes & Development.

In The Last Decade

I. Buyse

32 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
I. Buyse United States 15 731 304 297 185 97 32 1.3k
A. Ythier France 18 308 0.4× 100 0.3× 565 1.9× 233 1.3× 92 0.9× 38 1.3k
Charlotte A. Brown United States 22 489 0.7× 124 0.4× 67 0.2× 170 0.9× 128 1.3× 44 1.0k
Takehiko Sasazuki Japan 10 335 0.5× 174 0.6× 456 1.5× 259 1.4× 38 0.4× 14 949
Jacqueline M. Slavik United States 10 264 0.4× 191 0.6× 628 2.1× 190 1.0× 62 0.6× 13 997
Monica D’Arcy United States 15 353 0.5× 176 0.6× 136 0.5× 207 1.1× 61 0.6× 24 839
L Perroni Italy 17 302 0.4× 587 1.9× 1.4k 4.8× 184 1.0× 177 1.8× 39 2.1k
Irena Frydecka Poland 24 210 0.3× 274 0.9× 939 3.2× 488 2.6× 53 0.5× 103 1.5k
Amar Nijagal United States 16 354 0.5× 105 0.3× 206 0.7× 99 0.5× 386 4.0× 40 1.0k
Anniek Corveleyn Belgium 17 536 0.7× 430 1.4× 111 0.4× 68 0.4× 92 0.9× 44 1.3k
Lidia Karabon Poland 22 198 0.3× 216 0.7× 646 2.2× 372 2.0× 38 0.4× 68 1.2k

Countries citing papers authored by I. Buyse

Since Specialization
Citations

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

Fields of papers citing papers by I. Buyse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of I. Buyse

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

All Works

20 of 20 papers shown
1.
Monaghan, Kristin G., W. Edward Highsmith, J. Amos, et al.. (2004). Genotype-phenotype correlation and frequency of the 3199del6 cystic fibrosis mutation among I148T carriers: Results from a collaborative study. Genetics in Medicine. 6(5). 421–425. 24 indexed citations
2.
Buyse, I., Sarah McCarthy, Eric Schmitt, et al.. (2004). Use of MALDI-TOF mass spectrometry in a 51-mutation test for cystic fibrosis: Evidence that 3199del6 is a disease-causing mutation. Genetics in Medicine. 6(5). 426–430. 8 indexed citations
3.
Steele-Perkins, George, Wei Fang, Mireille Van Gele, et al.. (2001). Tumor formation and inactivation of RIZ1, an Rb-binding member of a nuclear protein–methyltransferase superfamily. Genes & Development. 15(17). 2250–2262. 164 indexed citations
4.
Fang, Wei, Zhe Piao, I. Buyse, et al.. (2001). Preferential loss of a polymorphic RIZ allele in human hepatocellular carcinoma. British Journal of Cancer. 84(6). 743–747. 32 indexed citations
5.
Buyse, I., et al.. (2000). Diagnostic Testing for Rett Syndrome by DHPLC and Direct Sequencing Analysis of the MECP2 Gene: Identification of Several Novel Mutations and Polymorphisms. The American Journal of Human Genetics. 67(6). 1428–1436. 132 indexed citations
6.
Jiang, Guangliang, Limin Liu, I. Buyse, Daniela Simón, & Shi Huang. (1999). Decreased RIZ1 expression but not RIZ2 in hepatoma and suppression of hepatoma tumorigenicity by RIZ1. International Journal of Cancer. 83(4). 541–546. 89 indexed citations
7.
Kerman, Ronald H., Brian Susskind, I. Buyse, et al.. (1999). FLOW CYTOMETRY-DETECTED IgG IS NOT A CONTRAINDICATION TO RENAL TRANSPLANTATION. Transplantation. 68(12). 1855–1858. 73 indexed citations
8.
Buyse, I., et al.. (1998). Identification of novel DRBI*13 (DRB1*1333), DRB1*04(DRB1*0426) and DRB5* (DRB5*0109) alleles. Tissue Antigens. 51(6). 658–662. 7 indexed citations
9.
Ouellet, Stéphane G., et al.. (1998). A novel DRB3 allele (DRB3*0208), a new allelic variant of DRB1*1502 (DRB1*15023) and two new DQB1 (DQBl*03012 and DQB1*0614) alleJes. Tissue Antigens. 52(3). 294–299. 6 indexed citations
10.
Shao, Gang, et al.. (1997). Transcriptional Repression Mediated by the PR Domain Zinc Finger Gene RIZ. Journal of Biological Chemistry. 272(42). 26360–26366. 46 indexed citations
11.
12.
Buyse, I., et al.. (1997). Identification of novel DRB1*11 (DRB1*11013, DRB1*1129), DRB1*08 (DRB1*0816) and DRB5* (DRB5*0107) alleles. Tissue Antigens. 50(6). 678–681. 4 indexed citations
13.
Buyse, I., et al.. (1996). Physical Mapping of the Retinoblastoma Interacting Zinc Finger Gene RIZ to D1S228 on Chromosome 1p36. Genomics. 34(1). 119–121. 41 indexed citations
14.
Hashemi, Seyed Ahmad, Carole Couture, I. Buyse, R.K. Cole, & M. T. Aye. (1996). Sequence analysis of three novel HLA‐DRB1 alleles: DRB1*1113, DRB1*1114 and DRB1*12032. Tissue Antigens. 47(2). 155–158. 6 indexed citations
15.
Hashemi, Seyed Ahmad, Carole Couture, I. Buyse, R.K. Cole, & M. T. Aye. (1996). Identification of a new DRB1*13 allele (DRB1*1320) and a novel DRB1*15 allele (DRB1*15012) with a silent mutation affecting oligotyping. Tissue Antigens. 47(2). 147–149. 6 indexed citations
16.
Spaepen, Marijke, I. Buyse, Peter Marynen, et al.. (1994). Improved Risk Assessment forInsulin-Dependent Diabetesmellitus by Analysis of AminoAcids in HLA-DQ and DRB1 Loci. European Journal of Human Genetics. 2(3). 177–184. 8 indexed citations
17.
Buyse, I., L. A. Sandkuyl, R. Bouillon, et al.. (1994). Association of particular HLA class II alleles, haplotypes and genotypes with susceptibility to IDDM in the Belgian population. Diabetologia. 37(8). 808–817. 23 indexed citations
18.
19.
Buyse, I., Ronny Decorte, Mathijs Baens, et al.. (1993). Rapid DNA typing of class II HLA antigens using the polymerase chain reaction and reverse dot blot hybridization. Tissue Antigens. 41(1). 1–14. 178 indexed citations
20.
Cuppens, Harry, et al.. (1992). Simultaneous screening for 11 mutations in the cystic fibrosis transmembrane conductance regulator gene by multiplex amplification and reverse dot-blot. Molecular and Cellular Probes. 6(1). 33–39. 25 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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