Dejun Lin

2.4k total citations · 1 hit paper
8 papers, 1.3k citations indexed

About

Dejun Lin is a scholar working on Molecular Biology, Microbiology and Plant Science. According to data from OpenAlex, Dejun Lin has authored 8 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Microbiology and 2 papers in Plant Science. Recurrent topics in Dejun Lin's work include Lipid Membrane Structure and Behavior (3 papers), Antimicrobial Peptides and Activities (3 papers) and RNA and protein synthesis mechanisms (3 papers). Dejun Lin is often cited by papers focused on Lipid Membrane Structure and Behavior (3 papers), Antimicrobial Peptides and Activities (3 papers) and RNA and protein synthesis mechanisms (3 papers). Dejun Lin collaborates with scholars based in United States. Dejun Lin's co-authors include Xiaojie Qiu, Jonathan S. Packer, Yi-An Ma, Andrew J. Hill, Cole Trapnell, Alan Grossfield, William Stafford Noble, Jie Liu, Galip Gürkan Yardımcı and Tod D. Romo and has published in prestigious journals such as The Journal of Chemical Physics, Bioinformatics and Nature Methods.

In The Last Decade

Dejun Lin

8 papers receiving 1.3k 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.

Single-cell mRNA quantification and differential analysis with Census

2017 1.1k citations Xiaojie Qiu, Andrew J. Hill et al. Nature Methods profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dejun Lin United States	8	863	349	217	177	102	8	1.3k
M. Cecilia Subauste United States	17	713 0.8×	291 0.8×	307 1.4×	162 0.9×	178 1.7×	22	1.5k
Yolanda Calle United Kingdom	21	732 0.8×	360 1.0×	114 0.5×	234 1.3×	68 0.7×	59	1.8k
Ana L.M. Giannini Brazil	11	921 1.1×	185 0.5×	170 0.8×	198 1.1×	46 0.5×	17	1.4k
Christine Lawson United States	23	801 0.9×	306 0.9×	284 1.3×	362 2.0×	116 1.1×	39	1.8k
Lindsay Hewlett United Kingdom	18	950 1.1×	668 1.9×	121 0.6×	157 0.9×	96 0.9×	20	2.1k
Jonna Nevo Finland	7	790 0.9×	245 0.7×	193 0.9×	393 2.2×	96 0.9×	8	1.4k
Mary W. McCaffrey Ireland	28	1.8k 2.1×	251 0.7×	157 0.7×	198 1.1×	51 0.5×	55	3.0k
Lynne Lacomis United States	15	1.6k 1.9×	232 0.7×	93 0.4×	160 0.9×	49 0.5×	17	2.4k
David A. Bennin United States	21	910 1.1×	441 1.3×	129 0.6×	196 1.1×	66 0.6×	31	1.7k
Haruko Hayasaka Japan	22	694 0.8×	519 1.5×	138 0.6×	417 2.4×	108 1.1×	46	1.5k

Countries citing papers authored by Dejun Lin

Since Specialization

Citations

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

Fields of papers citing papers by Dejun Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dejun Lin

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Lin, Dejun, Justin J. Sanders, & William Stafford Noble. (2021). HiCRep.py: fast comparison of Hi-C contact matrices in Python. Bioinformatics. 37(18). 2996–2997. 18 indexed citations

2.

Liu, Jie, Dejun Lin, Galip Gürkan Yardımcı, & William Stafford Noble. (2018). Unsupervised embedding of single-cell Hi-C data. Bioinformatics. 34(13). i96–i104. 43 indexed citations

3.

Lin, Dejun, Giancarlo Bonora, Galip Gürkan Yardımcı, & William Stafford Noble. (2018). Computational methods for analyzing and modeling genome structure and organization. WIREs Systems Biology and Medicine. 11(1). e1435–e1435. 28 indexed citations

4.

Qiu, Xiaojie, Andrew J. Hill, Jonathan S. Packer, et al.. (2017). Single-cell mRNA quantification and differential analysis with Census. Nature Methods. 14(3). 309–315. 1069 indexed citations breakdown →

5.

Lin, Dejun & Alan Grossfield. (2015). Thermodynamics of Micelle Formation and Membrane Fusion Modulate Antimicrobial Lipopeptide Activity. Biophysical Journal. 109(4). 750–759. 31 indexed citations

6.

Lin, Dejun. (2015). Generalized and efficient algorithm for computing multipole energies and gradients based on Cartesian tensors. The Journal of Chemical Physics. 143(11). 114115–114115. 10 indexed citations

7.

Lin, Dejun & Alan Grossfield. (2014). Thermodynamics of Antimicrobial Lipopeptide Binding to Membranes: Origins of Affinity and Selectivity. Biophysical Journal. 107(8). 1862–1872. 32 indexed citations

8.

Sengillo, Jesse D., et al.. (2011). Characterization of a potent antimicrobial lipopeptide via coarse-grained molecular dynamics. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1818(2). 212–218. 41 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.

Explore authors with similar magnitude of impact