Jinko Graham

2.0k total citations
58 papers, 1.4k citations indexed

About

Jinko Graham is a scholar working on Genetics, Molecular Biology and Surgery. According to data from OpenAlex, Jinko Graham has authored 58 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Genetics, 19 papers in Molecular Biology and 10 papers in Surgery. Recurrent topics in Jinko Graham's work include Genetic Associations and Epidemiology (22 papers), Genetic Mapping and Diversity in Plants and Animals (12 papers) and Diabetes and associated disorders (12 papers). Jinko Graham is often cited by papers focused on Genetic Associations and Epidemiology (22 papers), Genetic Mapping and Diversity in Plants and Animals (12 papers) and Diabetes and associated disorders (12 papers). Jinko Graham collaborates with scholars based in Canada, United States and Sweden. Jinko Graham's co-authors include Brad McNeney, Ji‐Hyung Shin, Kelly M. Burkett, Åke Lernmark, Ingrid Kockum, E. A. Thompson, Mona Landin‐Olsson, David Zamar, G. Blohmé and Gisela Dahlquist and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of Internal Medicine and Bioinformatics.

In The Last Decade

Jinko Graham

56 papers receiving 1.4k citations

Peers

Jinko Graham
Jennifer M. Love New Zealand
Søren Germer United States
S Cheng United States
Thomas W. Laver United Kingdom
Soumitra Ghosh United States
Anetta Nowosielska United States
Loan Nguyen United States
Yuefen Du United States
Jennifer M. Love New Zealand
Jinko Graham
Citations per year, relative to Jinko Graham Jinko Graham (= 1×) peers Jennifer M. Love

Countries citing papers authored by Jinko Graham

Since Specialization
Citations

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

Fields of papers citing papers by Jinko Graham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinko Graham

This figure shows the co-authorship network connecting the top 25 collaborators of Jinko Graham. A scholar is included among the top collaborators of Jinko Graham 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 Jinko Graham. Jinko Graham 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.
Gill, Erin E., Maren L. Smith, Kimberly Morishita, et al.. (2021). Different Disease Endotypes in Phenotypically Similar Vasculitides Affecting Small-to-Medium Sized Blood Vessels. Frontiers in Immunology. 12. 638571–638571. 9 indexed citations
2.
Brooks‐Wilson, Angela, et al.. (2019). SimRVSequences: an R package to simulate genetic sequence data for pedigrees. Bioinformatics. 36(7). 2295–2297.
3.
Morishita, Kimberly, Paul Dancey, Paul Moorehead, et al.. (2019). Identification of Novel Adenosine Deaminase 2 Gene Variants and Varied Clinical Phenotype in Pediatric Vasculitis. Arthritis & Rheumatology. 71(10). 1747–1755. 38 indexed citations
4.
Graham, Jinko, et al.. (2019). perfectphyloR: An R package for reconstructing perfect phylogenies. BMC Bioinformatics. 20(1). 729–729. 2 indexed citations
5.
Graham, Jinko, et al.. (2018). Using Gene Genealogies to Localize Rare Variants Associated with Complex Traits in Diploid Populations. Human Heredity. 83(1). 30–39. 2 indexed citations
6.
Brown, Kelly L., Joanna M. Lubieniecka, Katharina Kessel, et al.. (2018). S100A12 Serum Levels and PMN Counts Are Elevated in Childhood Systemic Vasculitides Especially Involving Proteinase 3 Specific Anti-neutrophil Cytoplasmic Antibodies. Frontiers in Pediatrics. 6. 341–341. 12 indexed citations
7.
Shin, Ji‐Hyung, Claire Infante‐Rivard, Jinko Graham, & Brad McNeney. (2012). Adjusting for Spurious Gene-by-Environment Interaction Using Case-Parent Triads. Statistical Applications in Genetics and Molecular Biology. 11(2). 2 indexed citations
8.
Schuetz, Johanna M., Denise Daley, Jinko Graham, et al.. (2012). Genetic Variation in Cell Death Genes and Risk of Non-Hodgkin Lymphoma. PLoS ONE. 7(2). e31560–e31560. 22 indexed citations
9.
Qu, Conghui, Johanna M. Schuetz, Jeong Eun Min, et al.. (2011). Cost–Effective Prediction of Gender-Labeling Errors and Estimation of Gender-Labeling Error Rates in Candidate-Gene Association Studies. SHILAP Revista de lepidopterología. 2. 31–31. 4 indexed citations
10.
Saferali, Aabida, Elin Grundberg, Soizik Berlivet, et al.. (2010). Cell culture-induced aberrant methylation of the imprinted IG DMR in human lymphoblastoid cell lines. Epigenetics. 5(1). 50–60. 24 indexed citations
11.
Janer, Marta, Brad McNeney, Kerry Deutsch, et al.. (2007). IA-2 autoantibodies in incident type I diabetes patients are associated with a polyadenylation signal polymorphism in GIMAP5. Genes and Immunity. 8(6). 503–512. 33 indexed citations
12.
Shin, Ji‐Hyung, Brad McNeney, & Jinko Graham. (2007). Case-Control Inference of Interaction between Genetic and Nongenetic Risk Factors under Assumptions on Their Distribution. Statistical Applications in Genetics and Molecular Biology. 6(1). Article13–Article13. 4 indexed citations
13.
Janer, Marta, Jinko Graham, Brad McNeney, et al.. (2007). Glutamate Cysteine Ligase Catalytic Subunit Promoter Polymorphisms and Associations with Type 1 Diabetes Age-at-onset and GAD65 Autoantibody Levels. Experimental and Clinical Endocrinology & Diabetes. 115(4). 221–228. 20 indexed citations
14.
Burkett, Kelly M., Jinko Graham, & Brad McNeney. (2006). hapassoc: Software for Likelihood Inference of Trait Associations with SNP Haplotypes and Other Attributes. SHILAP Revista de lepidopterología. 2 indexed citations
15.
Burkett, Kelly M., Mercedeh Ghadessi, Brad McNeney, Jinko Graham, & Denise Daley. (2005). A comparison of five methods for selecting tagging single-nucleotide polymorphisms. BMC Genetics. 6(S1). S71–S71. 11 indexed citations
16.
Valdes, Ana M., G. Thomson, Jinko Graham, et al.. (2005). D6S265*15 marks a DRB1*15, DQB1*0602 haplotype associated with attenuated protection from type 1 diabetes mellitus. Diabetologia. 48(12). 2540–2543. 17 indexed citations
17.
Graham, Jinko, Brad McNeney, & Françoise Seillier‐Moiseiwitsch. (2004). Stepwise detection of recombination breakpoints in sequence alignments. Bioinformatics. 21(5). 589–595. 13 indexed citations
18.
Undlien, D E, Ingrid Kockum, Kjersti S. Rønningen, et al.. (1999). HLA associations in type 1 diabetes among patients not carrying high‐risk DR3‐DQ2 or DR4‐DQ8 haplotypes. Tissue Antigens. 54(6). 543–551. 29 indexed citations
19.
Graham, Jinko, Nicola H. Chapman, Katrina A.B. Goddard, et al.. (1997). Segregation and linkage analysis of a quantitative versus a qualitative trait in large pedigrees. Genetic Epidemiology. 14(6). 999–1004. 4 indexed citations
20.
Goddard, Katrina A.B., Gail P. Jarvik, Jinko Graham, et al.. (1995). Analysis of quantitative risk factors for a common oligogenic disease. Genetic Epidemiology. 12(6). 759–764. 7 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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