Elaine C. Chang

1.7k total citations
11 papers, 1.1k citations indexed

About

Elaine C. Chang is a scholar working on Cellular and Molecular Neuroscience, Insect Science and Ecology. According to data from OpenAlex, Elaine C. Chang has authored 11 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 5 papers in Insect Science and 4 papers in Ecology. Recurrent topics in Elaine C. Chang's work include Neurobiology and Insect Physiology Research (9 papers), Physiological and biochemical adaptations (4 papers) and Insect Utilization and Effects (4 papers). Elaine C. Chang is often cited by papers focused on Neurobiology and Insect Physiology Research (9 papers), Physiological and biochemical adaptations (4 papers) and Insect Utilization and Effects (4 papers). Elaine C. Chang collaborates with scholars based in United States, Switzerland and Australia. Elaine C. Chang's co-authors include Paul Garrity, Lina Ni, KyeongJin Kang, Douglas L. Theobald, Leslie C. Griffith, Stefan R. Pulver, Gonzalo Budelli, Mason Klein, Richard Benton and Adam M. Jenkins and has published in prestigious journals such as Nature, Science and Neuron.

In The Last Decade

Elaine C. Chang

11 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Elaine C. Chang United States	10	888	362	298	292	179	11	1.1k
Lina Ni United States	10	721 0.8×	280 0.8×	163 0.5×	295 1.0×	199 1.1×	17	934
Anne F. Simon United States	16	859 1.0×	513 1.4×	127 0.4×	437 1.5×	120 0.7×	28	1.6k
Marco Gallio United States	16	917 1.0×	189 0.5×	122 0.4×	376 1.3×	231 1.3×	19	1.3k
Alfredo Ghezzi United States	15	1.0k 1.1×	197 0.5×	104 0.3×	341 1.2×	219 1.2×	25	1.3k
Nanaë Gendre Switzerland	15	829 0.9×	261 0.7×	165 0.6×	398 1.4×	92 0.5×	19	895
Abu Farhan Germany	8	646 0.7×	418 1.2×	109 0.4×	369 1.3×	75 0.4×	10	884
Fumika N. Hamada Japan	17	991 1.1×	206 0.6×	106 0.4×	442 1.5×	177 1.0×	31	1.5k
Roberto Crnjar Italy	23	504 0.6×	534 1.5×	619 2.1×	185 0.6×	131 0.7×	117	1.7k
Ana F. Silbering Switzerland	16	1.5k 1.7×	624 1.7×	331 1.1×	781 2.7×	155 0.9×	18	1.7k
Yali V. Zhang United States	8	541 0.6×	248 0.7×	238 0.8×	190 0.7×	59 0.3×	11	827

Countries citing papers authored by Elaine C. Chang

Since Specialization

Citations

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

Fields of papers citing papers by Elaine C. Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elaine C. Chang. 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 Elaine C. Chang. The network helps show where Elaine C. Chang may publish in the future.

Co-authorship network of co-authors of Elaine C. Chang

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

All Works

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11 of 11 papers shown

Laursen, Willem J., et al.. (2023). Humidity sensors that alert mosquitoes to nearby hosts and egg-laying sites. Neuron. 111(6). 874–887.e8. 42 indexed citations

Laursen, Willem J., et al.. (2023). DMKPs provide a generalizable strategy for studying genes required for reproduction or viability in nontraditional model organisms. Genetics. 224(2). 1 indexed citations

Greppi, Chloé, Willem J. Laursen, Gonzalo Budelli, et al.. (2020). Mosquito heat seeking is driven by an ancestral cooling receptor. Science. 367(6478). 681–684. 77 indexed citations

Budelli, Gonzalo, Lina Ni, Cristina Berciu, et al.. (2019). Ionotropic Receptors Specify the Morphogenesis of Phasic Sensors Controlling Rapid Thermal Preference in Drosophila. Neuron. 101(4). 738–747.e3. 72 indexed citations

Ni, Lina, Mason Klein, Kathryn V. Svec, et al.. (2016). The Ionotropic Receptors IR21a and IR25a mediate cool sensing in Drosophila. eLife. 5. 159 indexed citations

Goda, Tadahiro, Yujiro Umezaki, Elaine C. Chang, et al.. (2015). The Influence of Light on Temperature Preference in Drosophila. Current Biology. 25(8). 1063–1068. 25 indexed citations

Ni, Lina, Peter Bronk, Elaine C. Chang, et al.. (2013). A gustatory receptor paralogue controls rapid warmth avoidance in Drosophila. Nature. 500(7464). 580–584. 165 indexed citations

Neely, G. Gregory, Alex C. Keene, Peter Duchek, et al.. (2011). TrpA1 Regulates Thermal Nociception in Drosophila. PLoS ONE. 6(8). e24343–e24343. 130 indexed citations

Kang, KyeongJin, Elaine C. Chang, Lina Ni, et al.. (2011). Modulation of TRPA1 thermal sensitivity enables sensory discrimination in Drosophila. Nature. 481(7379). 76–80. 182 indexed citations

10.

Kang, KyeongJin, Stefan R. Pulver, Elaine C. Chang, et al.. (2010). Analysis of Drosophila TRPA1 reveals an ancient origin for human chemical nociception. Nature. 464(7288). 597–600. 264 indexed citations

11.

Chang, Elaine C., et al.. (2009). Effects of Chromosomal Rearrangements on Transvection at theyellowGene ofDrosophila melanogaster. Genetics. 183(2). 483–496. 13 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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