Mir Henglin

2.2k total citations · 1 hit paper
16 papers, 1.1k citations indexed

About

Mir Henglin is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Mir Henglin has authored 16 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Cardiology and Cardiovascular Medicine and 6 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Mir Henglin's work include Nutritional Studies and Diet (6 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Blood Pressure and Hypertension Studies (5 papers). Mir Henglin is often cited by papers focused on Nutritional Studies and Diet (6 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Blood Pressure and Hypertension Studies (5 papers). Mir Henglin collaborates with scholars based in United States, Finland and Italy. Mir Henglin's co-authors include Susan Cheng, Brian Claggett, Scott D. Solomon, Amil M. Shah, Lyn M. Steffen, Aaron R. Folsom, Sara B. Seidelmann, Walter C. Willett, Eric B. Rimm and Martin G. Larson and has published in prestigious journals such as Nature, Analytical Chemistry and Diabetes Care.

In The Last Decade

Mir Henglin

16 papers receiving 1.1k 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.

Dietary carbohydrate intake and mortality: a prospective cohort study and meta-analysis

2018 507 citations Sara B. Seidelmann, Brian Claggett et al. The Lancet Public Health profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mir Henglin United States	11	383	327	259	200	165	16	1.1k
John H. Livesey New Zealand	17	308 0.8×	108 0.3×	297 1.1×	197 1.0×	100 0.6×	28	1.6k
Michael S. Boyne Jamaica	22	294 0.8×	200 0.6×	300 1.2×	494 2.5×	95 0.6×	69	1.6k
José Manuel Morales Spain	18	155 0.4×	130 0.4×	368 1.4×	50 0.3×	47 0.3×	51	1.4k
Robert Lowe United States	15	238 0.6×	83 0.3×	229 0.9×	96 0.5×	67 0.4×	46	1.0k
Aishah Ekhzaimy Saudi Arabia	11	174 0.5×	88 0.3×	216 0.8×	553 2.8×	90 0.5×	42	1.2k
Päivi Laitinen Finland	25	148 0.4×	114 0.3×	723 2.8×	148 0.7×	732 4.4×	83	1.9k
Sihe Wang United States	25	171 0.4×	41 0.1×	502 1.9×	146 0.7×	87 0.5×	78	1.7k
Yuichi Ishikawa Japan	22	217 0.6×	43 0.1×	514 2.0×	178 0.9×	294 1.8×	75	1.6k
Michael J. Fossler United States	22	135 0.4×	73 0.2×	371 1.4×	123 0.6×	230 1.4×	69	1.5k
Robert Ross United States	25	759 2.0×	275 0.8×	2.0k 7.7×	162 0.8×	141 0.9×	40	3.2k

Countries citing papers authored by Mir Henglin

Since Specialization

Citations

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

Fields of papers citing papers by Mir Henglin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mir Henglin

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

All Works

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16 of 16 papers shown

Henglin, Mir, Maryam Ghareghani, William T. Harvey, et al.. (2024). Graphasing: phasing diploid genome assembly graphs with single-cell strand sequencing. Genome biology. 25(1). 265–265. 2 indexed citations

Henglin, Mir, Brian Claggett, Joseph Antonelli, et al.. (2022). Quantitative Comparison of Statistical Methods for Analyzing Human Metabolomics Data. Metabolites. 12(6). 519–519. 6 indexed citations

Echouffo‐Tcheugui, Justin B., Elizabeth L. McCabe, Mir Henglin, et al.. (2020). An Early-Onset Subgroup of Type 2 Diabetes: A Multigenerational, Prospective Analysis in the Framingham Heart Study. Diabetes Care. 43(12). 3086–3093. 17 indexed citations

Henglin, Mir. (2019). A Single Visualization Technique for Displaying Multiple Metabolite–Phenotype Associations. MDPI (MDPI AG). 11 indexed citations

Watrous, Jeramie D., Teemu Niiranen, Kim A. Lagerborg, et al.. (2019). Directed Non-targeted Mass Spectrometry and Chemical Networking for Discovery of Eicosanoids and Related Oxylipins. Cell chemical biology. 26(3). 433–442.e4. 54 indexed citations

Claggett, Brian, et al.. (2019). Dietary carbohydrate intake and mortality: a prospective cohort study and meta-analysis. Yearbook of pediatric endocrinology. 5 indexed citations

Antonelli, Joseph, Brian Claggett, Mir Henglin, et al.. (2019). Statistical Workflow for Feature Selection in Human Metabolomics Data. Metabolites. 9(7). 143–143. 59 indexed citations

Niiranen, Teemu, Mir Henglin, Brian Claggett, et al.. (2018). Trajectories of Blood Pressure Elevation Preceding Hypertension Onset An Analysis of the Framingham Heart Study Original Cohort. STM:n Hallinnonalan avoin julkaisuarkisto (Julkari). 2 indexed citations

Seidelmann, Sara B., Brian Claggett, Susan Cheng, et al.. (2018). Dietary carbohydrate intake and mortality: a prospective cohort study and meta-analysis. The Lancet Public Health. 3(9). e419–e428. 507 indexed citations breakdown →

10.

Niiranen, Teemu, Mir Henglin, Brian Claggett, et al.. (2018). Trajectories of Blood Pressure Elevation Preceding Hypertension Onset. JAMA Cardiology. 3(5). 427–427. 22 indexed citations

11.

Niiranen, Teemu, Elizabeth L. McCabe, Martin G. Larson, et al.. (2017). Heritability and risks associated with early onset hypertension: multigenerational, prospective analysis in the Framingham Heart Study. BMJ. 357. j1949–j1949. 65 indexed citations

12.

Henglin, Mir, et al.. (2017). Machine Learning Approaches in Cardiovascular Imaging. Circulation Cardiovascular Imaging. 10(10). 99 indexed citations

13.

Niiranen, Teemu, Elizabeth L. McCabe, Martin G. Larson, et al.. (2017). Risk for hypertension crosses generations in the community: a multi-generational cohort study. European Heart Journal. 38(29). 2300–2308. 57 indexed citations

14.

Watrous, Jeramie D., Mir Henglin, Brian Claggett, et al.. (2017). Visualization, Quantification, and Alignment of Spectral Drift in Population Scale Untargeted Metabolomics Data. Analytical Chemistry. 89(3). 1399–1404. 36 indexed citations

15.

Gibaud, Thomas, Edward Barry, Mark J. Zakhary, et al.. (2012). Reconfigurable self-assembly through chiral control of interfacial tension. 2 indexed citations

16.

Gibaud, Thomas, Edward Barry, Mark J. Zakhary, et al.. (2012). Reconfigurable self-assembly through chiral control of interfacial tension. Nature. 481(7381). 348–351. 195 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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