Mei-Lin Okino

1.3k total citations · 1 hit paper
7 papers, 395 citations indexed

About

Mei-Lin Okino is a scholar working on Surgery, Genetics and Molecular Biology. According to data from OpenAlex, Mei-Lin Okino has authored 7 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 5 papers in Genetics and 3 papers in Molecular Biology. Recurrent topics in Mei-Lin Okino's work include Pancreatic function and diabetes (6 papers), Diabetes and associated disorders (4 papers) and Single-cell and spatial transcriptomics (3 papers). Mei-Lin Okino is often cited by papers focused on Pancreatic function and diabetes (6 papers), Diabetes and associated disorders (4 papers) and Single-cell and spatial transcriptomics (3 papers). Mei-Lin Okino collaborates with scholars based in United States and Germany. Mei-Lin Okino's co-authors include Kyle J. Gaulton, Joshua Chiou, Paola Benaglio, Sebastian Preißl, Michael Miller, David U. Gorkin, Jee Yun Han, Rebecca Melton, Maike Sander and Serina Huang and has published in prestigious journals such as Nature, Nature Genetics and Diabetes.

In The Last Decade

Mei-Lin Okino

7 papers receiving 393 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Interpreting type 1 diabetes risk with genetics and single-cell epigenomics

2021 205 citations Joshua Chiou, Ryan J. Geusz et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mei-Lin Okino United States	6	265	174	154	117	55	7	395
Rebecca Melton United States	3	187 0.7×	130 0.7×	96 0.6×	85 0.7×	43 0.8×	5	276
Sandra Corbani Lebanon	10	163 0.6×	88 0.5×	225 1.5×	63 0.5×	51 0.9×	23	387
Watip Boonyasrisawat Thailand	7	215 0.8×	246 1.4×	185 1.2×	107 0.9×	52 0.9×	12	378
Jinxiu Rui United States	8	220 0.8×	232 1.3×	114 0.7×	156 1.3×	97 1.8×	10	404
Karolina Antosik Poland	13	166 0.6×	149 0.9×	135 0.9×	76 0.6×	16 0.3×	28	305
Xavier Pastor Hostench Spain	12	141 0.5×	105 0.6×	85 0.6×	52 0.4×	139 2.5×	14	349
Munish Mehta Australia	9	129 0.5×	96 0.6×	103 0.7×	56 0.5×	30 0.5×	13	251
Anna Wiberg Sweden	9	179 0.7×	166 1.0×	44 0.3×	124 1.1×	61 1.1×	16	290
Valérie Senée France	11	375 1.4×	342 2.0×	270 1.8×	181 1.5×	41 0.7×	13	600
Martina Owens United Kingdom	10	128 0.5×	116 0.7×	163 1.1×	60 0.5×	13 0.2×	17	310

Countries citing papers authored by Mei-Lin Okino

Since Specialization

Citations

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

Fields of papers citing papers by Mei-Lin Okino

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mei-Lin Okino. 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 Mei-Lin Okino. The network helps show where Mei-Lin Okino may publish in the future.

Co-authorship network of co-authors of Mei-Lin Okino

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

All Works

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7 of 7 papers shown

1.

Benaglio, Paola, Jee Yun Han, Joshua Chiou, et al.. (2023). Mapping genetic effects on cell type-specific chromatin accessibility and annotating complex immune trait variants using single nucleus ATAC-seq in peripheral blood. PLoS Genetics. 19(6). e1010759–e1010759. 15 indexed citations

2.

Kudtarkar, Parul, et al.. (2023). An Integrated Map of Cell Type–Specific Gene Expression in Pancreatic Islets. Diabetes. 72(11). 1719–1728. 34 indexed citations

3.

Chiou, Joshua, Chun Zeng, Cheng Zhang, et al.. (2021). Single-cell chromatin accessibility identifies pancreatic islet cell type– and state-specific regulatory programs of diabetes risk. Nature Genetics. 53(4). 455–466. 89 indexed citations

4.

Chiou, Joshua, Ryan J. Geusz, Mei-Lin Okino, et al.. (2021). Interpreting type 1 diabetes risk with genetics and single-cell epigenomics. Nature. 594(7863). 398–402. 205 indexed citations breakdown →

5.

Aylward, Anthony, Mei-Lin Okino, Paola Benaglio, et al.. (2021). Glucocorticoid signaling in pancreatic islets modulates gene regulatory programs and genetic risk of type 2 diabetes. PLoS Genetics. 17(5). e1009531–e1009531. 18 indexed citations

6.

Chiou, Joshua, Ryan J. Geusz, Mei-Lin Okino, et al.. (2021). Interpreting type 1 diabetes risk with genetics and single-cell epigenomics. Yearbook of pediatric endocrinology. 2 indexed citations

7.

Aylward, Anthony, Joshua Chiou, Mei-Lin Okino, Nikita Kadakia, & Kyle J. Gaulton. (2018). Shared genetic risk contributes to type 1 and type 2 diabetes etiology. Human Molecular Genetics. 32 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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