David Jelínek

1.6k total citations · 1 hit paper
28 papers, 1.2k citations indexed

About

David Jelínek is a scholar working on Physiology, Surgery and Molecular Biology. According to data from OpenAlex, David Jelínek has authored 28 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Physiology, 7 papers in Surgery and 7 papers in Molecular Biology. Recurrent topics in David Jelínek's work include Lysosomal Storage Disorders Research (9 papers), Adipose Tissue and Metabolism (5 papers) and Cholesterol and Lipid Metabolism (4 papers). David Jelínek is often cited by papers focused on Lysosomal Storage Disorders Research (9 papers), Adipose Tissue and Metabolism (5 papers) and Cholesterol and Lipid Metabolism (4 papers). David Jelínek collaborates with scholars based in United States, Canada and Russia. David Jelínek's co-authors include William S. Garver, Hilary A. Coller, Randall A. Heidenreich, Gordon A. Francis, Aimee Flores, William E. Lowry, Heather R. Christofk, James M. Flynn, Daniel Braas and Joseph Castillo and has published in prestigious journals such as Science, Cell and Nature Cell Biology.

In The Last Decade

David Jelínek

27 papers receiving 1.2k citations

Hit Papers

Wearable microneedle-based electrochemical aptamer biosen... 2022 2026 2023 2024 2022 50 100 150
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.

  1. Wearable microneedle-based electrochemical aptamer biosensing for precision dosing of drugs with narrow therapeutic windows
    2022 156 citations Shuyu Lin, Xuanbing Cheng et al. Science Advances profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Jelínek United States 14 414 390 175 135 132 28 1.2k
Yusheng Li China 23 635 1.5× 123 0.3× 287 1.6× 84 0.6× 231 1.8× 74 1.8k
Aamir Ahmed United Kingdom 22 790 1.9× 157 0.4× 66 0.4× 196 1.5× 118 0.9× 73 1.4k
Jingyao Liang China 18 283 0.7× 167 0.4× 54 0.3× 221 1.6× 87 0.7× 70 1.2k
Chi Yang China 19 585 1.4× 152 0.4× 229 1.3× 38 0.3× 222 1.7× 71 1.4k
Wendy Lee United States 25 947 2.3× 280 0.7× 136 0.8× 437 3.2× 162 1.2× 56 2.6k
Marc Mathieu France 23 738 1.8× 336 0.9× 68 0.4× 87 0.6× 167 1.3× 46 1.6k
Makio Saeki Japan 20 657 1.6× 174 0.4× 98 0.6× 88 0.7× 83 0.6× 52 1.1k
Stephana Carelli Italy 27 1.0k 2.4× 282 0.7× 222 1.3× 121 0.9× 303 2.3× 95 2.2k
Mona Dvir‐Ginzberg Israel 24 706 1.7× 267 0.7× 305 1.7× 134 1.0× 397 3.0× 48 2.1k
Jau‐Shiuh Chen Taiwan 17 386 0.9× 71 0.2× 252 1.4× 139 1.0× 92 0.7× 43 1.4k

Countries citing papers authored by David Jelínek

Since Specialization
Citations

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

Fields of papers citing papers by David Jelínek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Jelínek

This figure shows the co-authorship network connecting the top 25 collaborators of David Jelínek. A scholar is included among the top collaborators of David Jelínek 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 David Jelínek. David Jelínek 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.
Lin, Shuyu, Xuanbing Cheng, Jialun Zhu, et al.. (2022). Wearable microneedle-based electrochemical aptamer biosensing for precision dosing of drugs with narrow therapeutic windows. Science Advances. 8(38). eabq4539–eabq4539. 156 indexed citations breakdown →
2.
Zhao, Yichao, Bo Wang, Jiawei Tan, et al.. (2022). Soft strain-insensitive bioelectronics featuring brittle materials. Science. 378(6625). 1222–1227. 83 indexed citations
3.
Jelínek, David, et al.. (2020). A Mouse Model to Investigate the Role of Cancer-associated Fibroblasts in Tumor Growth. Journal of Visualized Experiments. 2 indexed citations
4.
Sullivan, William J., Peter Mullen, E. Schmid, et al.. (2018). Extracellular Matrix Remodeling Regulates Glucose Metabolism through TXNIP Destabilization. Cell. 175(1). 117–132.e21. 194 indexed citations
5.
Mitra, Mithun, Elizabeth L. Johnson, David C. Corney, et al.. (2018). Alternative polyadenylation factors link cell cycle to migration. Genome biology. 19(1). 176–176. 30 indexed citations
6.
Jelínek, David, Aimee Flores, Mélanie Uebelhoer, et al.. (2018). Mapping Metabolism: Monitoring Lactate Dehydrogenase Activity Directly in Tissue. Journal of Visualized Experiments. 12 indexed citations
7.
Jelínek, David, Aimee Flores, Mélanie Uebelhoer, et al.. (2018). Mapping Metabolism: Monitoring Lactate Dehydrogenase Activity Directly in Tissue. Journal of Visualized Experiments. 11 indexed citations
8.
Flores, Aimee, John C. Schell, Abigail S. Krall, et al.. (2017). Lactate dehydrogenase activity drives hair follicle stem cell activation. Nature Cell Biology. 19(9). 1017–1026. 209 indexed citations
9.
Jelínek, David, et al.. (2014). The Niemann-Pick C1 and caveolin-1 proteins interact to modulate efflux of low density lipoprotein-derived cholesterol from late endocytic compartments.. PubMed. 3(1). 14–26. 9 indexed citations
10.
Jelínek, David, Joseph Castillo, & William S. Garver. (2013). The C57BL/6J Niemann–Pick C1 mouse model with decreased gene dosage has impaired glucose tolerance independent of body weight. Gene. 527(1). 65–70. 13 indexed citations
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Jelínek, David, et al.. (2011). Evaluating Inter-rater Reliability of a National Assessment Model for Teacher Performance. 10 indexed citations
14.
Garver, William S., David Jelínek, F. John Meaney, et al.. (2009). The National Niemann-Pick Type C1 Disease Database: correlation of lipid profiles, mutations, and biochemical phenotypes. Journal of Lipid Research. 51(2). 406–415. 74 indexed citations
15.
Jelínek, David, Randall A. Heidenreich, Robert P. Erickson, & William S. Garver. (2009). Decreased Npc1 Gene Dosage in Mice Is Associated With Weight Gain. Obesity. 18(7). 1457–1459. 33 indexed citations
16.
17.
Garver, William S., David Jelínek, Gordon A. Francis, & Bruce D. Murphy. (2008). The Niemann-Pick C1 gene is downregulated by feedback inhibition of the SREBP pathway in human fibroblasts. Journal of Lipid Research. 49(5). 1090–1102. 30 indexed citations
18.
Garver, William S., Gordon A. Francis, David Jelínek, et al.. (2007). The National Niemann–Pick C1 disease database: Report of clinical features and health problems. American Journal of Medical Genetics Part A. 143A(11). 1204–1211. 126 indexed citations
19.
Garver, William S., David Jelínek, Janice Oyarzo, et al.. (2007). Characterization of liver disease and lipid metabolism in the Niemann‐Pick C1 mouse. Journal of Cellular Biochemistry. 101(2). 498–516. 50 indexed citations
20.
Jelínek, David, Petra Miketová, Ludmila Khailová, et al.. (2006). Identification ofArcobacter species using phospholipid and total fatty acid profiles. Folia Microbiologica. 51(4). 329–336. 5 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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