Kyle Lund

1.4k total citations · 1 hit paper
8 papers, 1.0k citations indexed

About

Kyle Lund is a scholar working on Molecular Biology, Ecology and Biomedical Engineering. According to data from OpenAlex, Kyle Lund has authored 8 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Ecology and 2 papers in Biomedical Engineering. Recurrent topics in Kyle Lund's work include Advanced biosensing and bioanalysis techniques (6 papers), DNA and Nucleic Acid Chemistry (4 papers) and Bacteriophages and microbial interactions (2 papers). Kyle Lund is often cited by papers focused on Advanced biosensing and bioanalysis techniques (6 papers), DNA and Nucleic Acid Chemistry (4 papers) and Bacteriophages and microbial interactions (2 papers). Kyle Lund collaborates with scholars based in United States. Kyle Lund's co-authors include Hao Yan, Steven K. Taylor, Renjun Pei, Anthony J. Manzo, Milan N. Stojanović, Nils G. Walter, Erik Winfree, Alexander Johnson‐Buck, Nicole Michelotti and Nadine Dabby and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Kyle Lund

8 papers receiving 989 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.

Molecular robots guided by prescriptive landscapes

2010 716 citations Kyle Lund, Anthony J. Manzo 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
Kyle Lund United States	8	898	309	169	125	56	8	1.0k
Nicole Michelotti United States	5	775 0.9×	282 0.9×	101 0.6×	92 0.7×	32 0.6×	5	900
Steven K. Taylor United States	8	988 1.1×	392 1.3×	113 0.7×	169 1.4×	40 0.7×	14	1.1k
Anthony J. Manzo United States	9	911 1.0×	411 1.3×	107 0.6×	175 1.4×	35 0.6×	19	1.2k
Haorong Chen United States	14	735 0.8×	320 1.0×	136 0.8×	103 0.8×	43 0.8×	23	867
Enzo Kopperger Germany	9	877 1.0×	345 1.1×	158 0.9×	78 0.6×	38 0.7×	13	1.0k
Nadine Dabby United Kingdom	4	666 0.7×	267 0.9×	93 0.6×	90 0.7×	30 0.5×	6	773
Peng Yin United States	6	870 1.0×	264 0.9×	138 0.8×	114 0.9×	26 0.5×	9	995
Martin Langecker Germany	10	972 1.1×	626 2.0×	162 1.0×	105 0.8×	58 1.0×	13	1.2k
Zhiyong Shen United States	8	1.4k 1.5×	255 0.8×	323 1.9×	207 1.7×	61 1.1×	11	1.5k
Nick Papadakis United States	3	807 0.9×	144 0.5×	187 1.1×	69 0.6×	64 1.1×	5	902

Countries citing papers authored by Kyle Lund

Since Specialization

Citations

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

Fields of papers citing papers by Kyle Lund

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyle Lund

This figure shows the co-authorship network connecting the top 25 collaborators of Kyle Lund. A scholar is included among the top collaborators of Kyle Lund 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 Kyle Lund. Kyle Lund 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.

Lund, Kyle, et al.. (2017). Robust Execution of Probabilistic Temporal Plans. Proceedings of the AAAI Conference on Artificial Intelligence. 31(1). 11 indexed citations

2.

Janke, Megan, et al.. (2010). The Candida albicans Kar2 protein is essential and functions during the translocation of proteins into the endoplasmic reticulum. Current Genetics. 57(1). 25–37. 11 indexed citations

3.

Lund, Kyle, Anthony J. Manzo, Nadine Dabby, et al.. (2010). Molecular robots guided by prescriptive landscapes. Nature. 465(7295). 206–210. 716 indexed citations breakdown →

4.

Williams, Berea A. R., Kyle Lund, Yan Liu, Hao Yan, & John C. Chaput. (2007). Self‐Assembled Peptide Nanoarrays: An Approach to Studying Protein–Protein Interactions. Angewandte Chemie International Edition. 46(17). 3051–3054. 114 indexed citations

5.

Williams, Berea A. R., Kyle Lund, Yan Liu, Hao Yan, & John C. Chaput. (2007). Self‐Assembled Peptide Nanoarrays: An Approach to Studying Protein–Protein Interactions. Angewandte Chemie. 119(17). 3111–3114. 35 indexed citations

6.

Lund, Kyle, Yan Liu, & Hao Yan. (2006). Combinatorial self-assembly of DNA nanostructures. Organic & Biomolecular Chemistry. 4(18). 3402–3402. 7 indexed citations

7.

Lund, Kyle, et al.. (2006). DNA Nanotechnology: A Rapidly Evolving Field. Current Nanoscience. 2(2). 113–122. 14 indexed citations

8.

Lund, Kyle, Yan Liu, Stuart Lindsay, & Hao Yan. (2005). Self-Assembling a Molecular Pegboard. Journal of the American Chemical Society. 127(50). 17606–17607. 97 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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