Chris Henry

517 total citations
9 papers, 291 citations indexed

About

Chris Henry is a scholar working on Molecular Biology, Ecology and Food Science. According to data from OpenAlex, Chris Henry has authored 9 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Ecology and 2 papers in Food Science. Recurrent topics in Chris Henry's work include Microbial Metabolic Engineering and Bioproduction (5 papers), Microbial Community Ecology and Physiology (3 papers) and Bioinformatics and Genomic Networks (3 papers). Chris Henry is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (5 papers), Microbial Community Ecology and Physiology (3 papers) and Bioinformatics and Genomic Networks (3 papers). Chris Henry collaborates with scholars based in United States and China. Chris Henry's co-authors include Jack A. Gilbert, César Cardona, Pamela Weisenhorn, Brent Stephens, Robert A. Edwards, Ross Overbeek, Daniel Cuevas, Simon Lax, Janaka N. Edirisinghe and Taylor O’Connell and has published in prestigious journals such as Nature Communications, Nature Protocols and Frontiers in Microbiology.

In The Last Decade

Chris Henry

9 papers receiving 289 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chris Henry United States	7	173	99	37	31	29	9	291
Amanda N. Shelton United States	4	207 1.2×	104 1.1×	14 0.4×	42 1.4×	15 0.5×	7	321
Erin Thorson Canada	4	192 1.1×	131 1.3×	15 0.4×	16 0.5×	11 0.4×	4	301
José Félix Aguirre‐Garrido Mexico	11	88 0.5×	85 0.9×	13 0.4×	73 2.4×	13 0.4×	28	288
Adriana M. Fróes Brazil	11	60 0.3×	90 0.9×	19 0.5×	27 0.9×	12 0.4×	14	298
Nicolas Cichocki Germany	8	174 1.0×	92 0.9×	10 0.3×	46 1.5×	61 2.1×	9	308
David Cotton Ireland	5	125 0.7×	117 1.2×	52 1.4×	25 0.8×	16 0.6×	5	271
Т. З. Есикова Russia	12	140 0.8×	105 1.1×	42 1.1×	58 1.9×	15 0.5×	36	313
György Vincze Hungary	5	105 0.6×	85 0.9×	32 0.9×	42 1.4×	41 1.4×	10	297
Chelsea L. Murphy United States	7	145 0.8×	101 1.0×	11 0.3×	81 2.6×	50 1.7×	13	334
Kazuto Takasaki Japan	9	174 1.0×	111 1.1×	9 0.2×	47 1.5×	54 1.9×	17	320

Countries citing papers authored by Chris Henry

Since Specialization

Citations

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

Fields of papers citing papers by Chris Henry

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Henry

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Henry. A scholar is included among the top collaborators of Chris Henry 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 Chris Henry. Chris Henry 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:

9 of 9 papers shown

1.

DeLeon, Orlando, Florian Trigodet, Karen Lolans, et al.. (2023). Dynamic genetic adaptation of Bacteroides thetaiotaomicron during murine gut colonization. Cell Reports. 42(8). 113009–113009. 15 indexed citations

2.

Parrello, Bruce, Olga Vasieva, Philippe Chlenski, et al.. (2023). Engineering of increased L-Threonine production in bacteria by combinatorial cloning and machine learning. Metabolic Engineering Communications. 17. e00225–e00225. 5 indexed citations

3.

Chivian, Dylan, Sean P. Jungbluth, Paramvir Dehal, et al.. (2022). Metagenome-assembled genome extraction and analysis from microbiomes using KBase. Nature Protocols. 18(1). 208–238. 56 indexed citations

4.

Lax, Simon, César Cardona, Dan Zhao, et al.. (2019). Microbial and metabolic succession on common building materials under high humidity conditions. Nature Communications. 10(1). 1767–1767. 55 indexed citations

5.

Jeffryes, James G., Jonathan Strutz, Chris Henry, & Keith E. J. Tyo. (2019). Metabolic In Silico Network Expansions to Predict and Exploit Enzyme Promiscuity. Methods in molecular biology. 1927. 11–21. 6 indexed citations

6.

Cardona, César, Simon Lax, Peter E. Larsen, et al.. (2018). Environmental Sources of Bacteria Differentially Influence Host-Associated Microbial Dynamics. mSystems. 3(3). 25 indexed citations

7.

Cardona, César, Pamela Weisenhorn, Chris Henry, & Jack A. Gilbert. (2016). Network-based metabolic analysis and microbial community modeling. Current Opinion in Microbiology. 31. 124–131. 76 indexed citations

8.

Cuevas, Daniel, Janaka N. Edirisinghe, Chris Henry, et al.. (2016). From DNA to FBA: How to Build Your Own Genome-Scale Metabolic Model. Frontiers in Microbiology. 7. 907–907. 41 indexed citations

9.

Gilbert, Jack A. & Chris Henry. (2015). Predicting ecosystem emergent properties at multiple scales. Environmental Microbiology Reports. 7(1). 20–22. 12 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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