Michael Feolo

6.4k total citations
22 papers, 729 citations indexed

About

Michael Feolo is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Michael Feolo has authored 22 papers receiving a total of 729 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Immunology and 9 papers in Genetics. Recurrent topics in Michael Feolo's work include T-cell and B-cell Immunology (10 papers), Genetic Associations and Epidemiology (7 papers) and Immune Cell Function and Interaction (4 papers). Michael Feolo is often cited by papers focused on T-cell and B-cell Immunology (10 papers), Genetic Associations and Epidemiology (7 papers) and Immune Cell Function and Interaction (4 papers). Michael Feolo collaborates with scholars based in United States, Austria and France. Michael Feolo's co-authors include Yumi Jin, Moira Lee, Lora Ziyabari, Masato Kimura, Nataliya Sharopova, K. A. Tryka, Luning Hao, Anne Sturcke, Н. В. Попова and Zhen Y Wang and has published in prestigious journals such as Nucleic Acids Research, The Journal of Immunology and Journal of the American College of Cardiology.

In The Last Decade

Michael Feolo

22 papers receiving 711 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Feolo United States 12 328 243 195 103 58 22 729
Xiangqun Zheng-Bradley United Kingdom 9 400 1.2× 275 1.1× 64 0.3× 82 0.8× 38 0.7× 11 719
Namrata Gupta United States 16 497 1.5× 393 1.6× 238 1.2× 138 1.3× 37 0.6× 34 1.4k
James Eales United Kingdom 13 276 0.8× 166 0.7× 61 0.3× 85 0.8× 40 0.7× 28 586
Nadia M. Penrod United States 9 323 1.0× 203 0.8× 65 0.3× 51 0.5× 40 0.7× 15 597
Javed Ashraf Pakistan 16 159 0.5× 229 0.9× 137 0.7× 48 0.5× 60 1.0× 47 755
Claudia Strafella Italy 16 361 1.1× 86 0.4× 135 0.7× 66 0.6× 25 0.4× 57 834
Jingxuan Shan Qatar 14 431 1.3× 195 0.8× 98 0.5× 243 2.4× 35 0.6× 33 961
Kristina M. Little United States 6 248 0.8× 110 0.5× 288 1.5× 78 0.8× 40 0.7× 8 647
Sajjad Rafiq United Kingdom 12 157 0.5× 195 0.8× 134 0.7× 76 0.7× 17 0.3× 16 511
Chirag Shah United States 24 386 1.2× 193 0.8× 180 0.9× 118 1.1× 124 2.1× 68 1.7k

Countries citing papers authored by Michael Feolo

Since Specialization
Citations

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

Fields of papers citing papers by Michael Feolo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Feolo

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Feolo. A scholar is included among the top collaborators of Michael Feolo 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 Michael Feolo. Michael Feolo 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.
Pan, Huaqin, Stephen W. Erickson, Michael Feolo, et al.. (2022). Identifying Datasets for Cross-Study Analysis in dbGaP using PhenX. Scientific Data. 9(1). 532–532. 3 indexed citations
2.
Liu, Chunyu, Roby Joehanes, Jiantao Ma, et al.. (2022). Whole genome DNA and RNA sequencing of whole blood elucidates the genetic architecture of gene expression underlying a wide range of diseases. Scientific Reports. 12(1). 20167–20167. 4 indexed citations
3.
Jin, Yumi, Alejandro A. Schäffer, Michael Feolo, J. Bradley Holmes, & B Kattman. (2019). GRAF-pop: A Fast Distance-Based Method To Infer Subject Ancestry from Multiple Genotype Datasets Without Principal Components Analysis. G3 Genes Genomes Genetics. 9(8). 2447–2461. 33 indexed citations
4.
Jin, Yumi, Alejandro A. Schäffer, Stephen T. Sherry, & Michael Feolo. (2017). Quickly identifying identical and closely related subjects in large databases using genotype data. PLoS ONE. 12(6). e0179106–e0179106. 15 indexed citations
5.
Gourraud, Pierre‐Antoine, Pouya Khankhanian, Nezih Cereb, et al.. (2014). HLA Diversity in the 1000 Genomes Dataset. PLoS ONE. 9(7). e97282–e97282. 122 indexed citations
6.
Tryka, K. A., Luning Hao, Anne Sturcke, et al.. (2013). NCBI’s Database of Genotypes and Phenotypes: dbGaP. Nucleic Acids Research. 42(D1). D975–D979. 321 indexed citations
7.
Craig, David W., Zhenyuan Wang, Justin Paschall, et al.. (2011). Assessing and managing risk when sharing aggregate genetic variant data. Nature Reviews Genetics. 12(10). 730–736. 40 indexed citations
8.
Marthandan, Nishanth, David R. Karp, Frank C. Arnett, et al.. (2009). HLA genetic association analysis using the sequence feature variant type approach (136.31). The Journal of Immunology. 182(Supplement_1). 136.31–136.31. 1 indexed citations
9.
Saccone, Scott F., Laura J. Bierut, Elissa J. Chesler, et al.. (2009). Supplementing High-Density SNP Microarrays for Additional Coverage of Disease-Related Genes: Addiction as a Paradigm. PLoS ONE. 4(4). e5225–e5225. 21 indexed citations
10.
Gourraud, Pierre‐Antoine, Douglas Hoffman, Anne Cambon‐Thomsen, & Michael Feolo. (2007). 14th International HLA and Immunogenetics Workshop: Report on mapping microsatellite markers in the major histocompatibility complex region. Tissue Antigens. 69(s1). 206–209. 2 indexed citations
11.
Steenkiste, Ann R., Ana M. Valdes, Michael Feolo, et al.. (2007). 14th International HLA and Immunogenetics Workshop: Report on the HLA component of type 1 diabetes. Tissue Antigens. 69(s1). 214–225. 29 indexed citations
12.
Gourraud, Pierre‐Antoine, Anne Cambon‐Thomsen, E.M. Dauber, et al.. (2007). Nomenclature for HLA microsatellites. Tissue Antigens. 69(s1). 210–213. 7 indexed citations
13.
Zaitlen, Noah, Hyun Min Kang, Michael Feolo, et al.. (2005). Inference and analysis of haplotypes from combined genotyping studies deposited in dbSNP. Genome Research. 15(11). 1594–1600. 21 indexed citations
14.
Helmberg, Wolfgang, Douglas Hoffman, Michael Feolo, & Martin Maiers. (2005). Population based characterisation of HLA typing kits and ambiguous typing results: The frequency inferred typing (FIT) index. Human Immunology. 66(8). 36–36. 1 indexed citations
15.
Helmberg, Wolfgang, et al.. (2004). The reagent database at dbMHC. Tissue Antigens. 63(2). 142–148. 2 indexed citations
16.
Helmberg, Wolfgang, et al.. (2004). The sequencing-based typing tool of dbMHC: typing highly polymorphic gene sequences. Nucleic Acids Research. 32(Web Server). W173–W175. 26 indexed citations
17.
Feolo, Michael, et al.. (2003). 11. The Major Histocompatibility Complex Database, dbMHC. Critical Care Nursing Quarterly. 35(4). 378–87. 2 indexed citations
18.
Neuhausen, Susan L., Michael Feolo, James M. Farnham, Linda Book, & John J. Zone. (2001). Linkage analysis of HLA and candidate genes for celiac disease in a North American family-based study. BMC Medical Genetics. 2(1). 12–12. 18 indexed citations
19.
Ward, Richard H., et al.. (1995). Immune response factors in rheumatic heart disease: meta-analysis of HLA-DR associations and evaluation of additional class II alleles. Journal of the American College of Cardiology. 26(2). 452–457. 28 indexed citations
20.
Carlquist, John F., et al.. (1994). Major histocompatibility complex class II gene frequencies by serologic and deoxyribonucleic acid genomic typing in idiopathic dilated cardiomyopathy. The American Journal of Cardiology. 74(9). 918–920. 23 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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