I. King Jordan

10.6k total citations
172 papers, 7.4k citations indexed

About

I. King Jordan is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, I. King Jordan has authored 172 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 114 papers in Molecular Biology, 57 papers in Plant Science and 46 papers in Genetics. Recurrent topics in I. King Jordan's work include Chromosomal and Genetic Variations (49 papers), Genomics and Phylogenetic Studies (44 papers) and RNA and protein synthesis mechanisms (29 papers). I. King Jordan is often cited by papers focused on Chromosomal and Genetic Variations (49 papers), Genomics and Phylogenetic Studies (44 papers) and RNA and protein synthesis mechanisms (29 papers). I. King Jordan collaborates with scholars based in United States, Colombia and China. I. King Jordan's co-authors include Eugene V. Koonin, Leonardo Mariño‐Ramírez, Yuri I. Wolf, Jittima Piriyapongsa, Igor B. Rogozin, Andrew B. Conley, Lavanya Rishishwar, John F. McDonald, Victoria V. Lunyak and Galina Glazko and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and JAMA.

In The Last Decade

I. King Jordan

168 papers receiving 7.3k citations

Peers

Countries citing papers authored by I. King Jordan

Since Specialization

Citations

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

Fields of papers citing papers by I. King Jordan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of I. King Jordan

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Unveiling ancestral threads: Exploring CCR5 ∆32 mutation frequencies in Colombian populations for HIV/AIDS therapeutics 2024 ·Infection Genetics and Evolution ·(unknown), Thanh Long Nguyen, Juan Esteban Gallo, Leonardo Mariño‐Ramírez, José Soto, (unknown), I. King Jordan, Augusto Valderrama-Aguirre	2
2	HIVseqDB: a portable resource for NGS and sample metadata integration for HIV-1 drug resistance analysis 2024 ·Bioinformatics Advances ·(unknown), Daudi Jjingo, Nicholas Bbosa, Daniel Lule Bugembe, David Patrick Kateete, I. King Jordan, Pontiano Kaleebu, Deogratius Ssemwanga	1
3	Population Pharmacogenomics for Health Equity 2023 ·Genes ·I. King Jordan, (unknown), Leonardo Mariño‐Ramírez	9
4	Rye: genetic ancestry inference at biobank scale 2023 ·Nucleic Acids Research ·Andrew B. Conley, Lavanya Rishishwar, (unknown), (unknown), Emily T. Norris, I. King Jordan, Leonardo Mariño‐Ramírez	10
5	The landscape of health disparities in the UK Biobank 2023 ·Database ·Shashwat Deepali Nagar, I. King Jordan, Leonardo Mariño‐Ramírez	6
6	Association of Genetic Ancestry and Molecular Signatures with Cancer Survival Disparities: A Pan-Cancer Analysis 2022 ·Cancer Research ·(unknown), Lavanya Rishishwar, (unknown), Shashwat Deepali Nagar, Leonardo Mariño‐Ramírez, John F. McDonald, I. King Jordan	19
7	Mutations in SORL1 and MTHFDL1 possibly contribute to the development of Alzheimer’s disease in a multigenerational Colombian Family 2022 ·PLoS ONE ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Lavanya Rishishwar, Emily T. Norris, Aroon T. Chande, I. King Jordan, Gabriel Bedoya Berrío	6
8	Effects of genetic ancestry and socioeconomic deprivation on ethnic differences in serum creatinine 2022 ·Gene ·Leonardo Mariño‐Ramírez, (unknown), Lavanya Rishishwar, Andrew B. Conley, Shashwat Deepali Nagar, I. King Jordan	12
9	Genomic Diversity of Azole-Resistant Aspergillus fumigatus in the United States 2021 ·mBio ·Kizee A. Etienne, Elizabeth L. Berkow, Lalitha Gade, Natalie S. Nunnally, Shawn R. Lockhart, Karlyn D. Beer, I. King Jordan, Lavanya Rishishwar, Anastasia P. Litvintseva	30
10	STing: accurate and ultrafast genomic profiling with exact sequence matches 2020 ·Nucleic Acids Research ·(unknown), Aroon T. Chande, Shashwat Deepali Nagar, Heather C. Smith, I. King Jordan, Lavanya Rishishwar	3
11	Absence of mgrB Alleviates Negative Growth Effects of Colistin Resistance in Enterobacter cloacae 2020 ·Antibiotics ·(unknown), Aroon T. Chande, Eileen M. Burd, Victor I. Band, Sarah W. Satola, Monica M. Farley, Jesse T. Jacob, I. King Jordan, David S. Weiss	5
12	Native American admixture recapitulates population-specific migration and settlement of the continental United States 2019 ·PLoS Genetics ·I. King Jordan, Lavanya Rishishwar, Andrew B. Conley	24
13	MIR retrotransposon sequences provide insulators to the human genome 2015 ·Proceedings of the National Academy of Sciences ·Jianrong Wang, Cristina Vicente‐García, Davide Seruggia, Eduardo Moltó, Ana Fernández‐Miñán, Ana Neto, (unknown), José Luis Gómez-Skármeta, Lluı́s Montoliu, Victoria V. Lunyak, I. King Jordan	81
14	Identification of a Tumor-Suppressive Human-Specific MicroRNA within the FHIT Tumor-Suppressor Gene 2014 ·Cancer Research ·Baocheng Hu, Xiaomin Ying, Jian Wang, Jittima Piriyapongsa, I. King Jordan, (unknown), Fang Yu, (unknown), Yazhuo Li, Hongyan Wang, Wooi Loon Ng, (unknown), Xiang Wang, Chenguang Wang, Xiaofei Zheng, Wen‐Hsiung Li, Walter J. Curran, Ya Wang	47
15	Flow-dependent epigenetic DNA methylation regulates endothelial gene expression and atherosclerosis 2014 ·Journal of Clinical Investigation ·Jessilyn Dunn, Haiwei Qiu, Soyeon Kim, Daudi Jjingo, Ryan Hoffman, Chan Woo Kim, In-Hwan Jang, Dong Ju Son, Daniel H. Kim, Chenyi Pan, Yuhong Fan, I. King Jordan, Hanjoong Jo	232
16	A c-Myc regulatory subnetwork from human transposable element sequences 2009 ·Molecular BioSystems ·Jianrong Wang, Nathan J. Bowen, Leonardo Mariño‐Ramírez, I. King Jordan	19
17	Evolutionary and functional divergence between the cystic fibrosis transmembrane conductance regulator and related ATP-binding cassette transporters 2008 ·Proceedings of the National Academy of Sciences ·I. King Jordan, Karthik Kota, Guiying Cui, Christopher H. Thompson, Nael A. McCarty	53
18	Origin and Evolution of Human microRNAs From Transposable Elements 2007 ·Genetics ·Jittima Piriyapongsa, Leonardo Mariño‐Ramírez, I. King Jordan	270
19	Transposable Elements and the Evolution of Eukaryotic Complexity 2002 ·Current Issues in Molecular Biology ·Nathan J. Bowen, I. King Jordan	73
20	Microevolutionary Genomics of Bacteria 2002 ·Theoretical Population Biology ·I. King Jordan, Igor B. Rogozin, Yuri I. Wolf, Eugene V. Koonin	72

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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