Celia Chang

1.2k total citations
19 papers, 909 citations indexed

About

Celia Chang is a scholar working on Molecular Biology, Ecology, Evolution, Behavior and Systematics and Physiology. According to data from OpenAlex, Celia Chang has authored 19 papers receiving a total of 909 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Ecology, Evolution, Behavior and Systematics and 4 papers in Physiology. Recurrent topics in Celia Chang's work include Bat Biology and Ecology Studies (4 papers), Adipose Tissue and Metabolism (4 papers) and Fungal and yeast genetics research (3 papers). Celia Chang is often cited by papers focused on Bat Biology and Ecology Studies (4 papers), Adipose Tissue and Metabolism (4 papers) and Fungal and yeast genetics research (3 papers). Celia Chang collaborates with scholars based in United States, United Kingdom and Sweden. Celia Chang's co-authors include Louise C. Showe, Michael K. Showe, Calen Nichols, Andrew V. Kossenkov, Anna V. Goropashnaya, Øivind Tøien, Vadim B. Fedorov, Brian M. Barnes, Jun Yan and P.Jacob Varghese and has published in prestigious journals such as Nucleic Acids Research, The Journal of Experimental Medicine and Journal of Neuroscience.

In The Last Decade

Celia Chang

19 papers receiving 891 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Celia Chang United States 16 353 162 154 141 129 19 909
Efe Sezgın Türkiye 25 525 1.5× 61 0.4× 66 0.4× 173 1.2× 211 1.6× 61 1.6k
Sarah R. Pickens United States 13 195 0.6× 63 0.4× 39 0.3× 493 3.5× 58 0.4× 17 1.2k
Roman Müllenbach Germany 12 390 1.1× 51 0.3× 61 0.4× 93 0.7× 112 0.9× 28 1.4k
Julian Gutekunst Germany 13 480 1.4× 63 0.4× 23 0.1× 145 1.0× 100 0.8× 17 924
Dejian Zhao United States 21 648 1.8× 70 0.4× 19 0.1× 130 0.9× 94 0.7× 46 1.2k
Sabine Urban Germany 17 405 1.1× 90 0.6× 45 0.3× 312 2.2× 127 1.0× 23 1.0k
И. А. Королева Russia 9 129 0.4× 45 0.3× 56 0.4× 199 1.4× 29 0.2× 44 584
M Takada Japan 16 318 0.9× 72 0.4× 70 0.5× 283 2.0× 42 0.3× 27 1.7k
Thorsten Kurz Germany 18 343 1.0× 321 2.0× 17 0.1× 265 1.9× 44 0.3× 22 962
Luca Cozzuto Spain 22 1.4k 4.1× 107 0.7× 29 0.2× 86 0.6× 211 1.6× 43 1.9k

Countries citing papers authored by Celia Chang

Since Specialization
Citations

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

Fields of papers citing papers by Celia Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Celia Chang

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

All Works

19 of 19 papers shown
1.
Gourevitch, Dmitri, Andrew V. Kossenkov, Lise Clark, et al.. (2014). Inflammation and Its Correlates in Regenerative Wound Healing: An Alternate Perspective. Advances in Wound Care. 3(9). 592–603. 36 indexed citations
2.
Dawany, Noor, Louise C. Showe, Andrew V. Kossenkov, et al.. (2014). Identification of a 251 Gene Expression Signature That Can Accurately Detect M. tuberculosis in Patients with and without HIV Co-Infection. PLoS ONE. 9(2). e89925–e89925. 30 indexed citations
3.
Fedorov, Vadim B., Anna V. Goropashnaya, Øivind Tøien, et al.. (2014). Comparative functional genomics of adaptation to muscular disuse in hibernating mammals. Molecular Ecology. 23(22). 5524–5537. 50 indexed citations
4.
Fedorov, Vadim B., Anna V. Goropashnaya, Øivind Tøien, et al.. (2012). Preservation of bone mass and structure in hibernating black bears (Ursus americanus) through elevated expression of anabolic genes. Functional & Integrative Genomics. 12(2). 357–365. 30 indexed citations
5.
6.
Kossenkov, Andrew V., Anil Vachani, Celia Chang, et al.. (2011). Resection of Non–Small Cell Lung Cancers Reverses Tumor-Induced Gene Expression Changes in the Peripheral Immune System. Clinical Cancer Research. 17(18). 5867–5877. 42 indexed citations
7.
Fedorov, Vadim B., Anna V. Goropashnaya, Øivind Tøien, et al.. (2011). Modulation of gene expression in heart and liver of hibernating black bears (Ursus americanus). BMC Genomics. 12(1). 171–171. 90 indexed citations
8.
Wong, Yu‐Hui, et al.. (2010). Protogenin Defines a Transition Stage during Embryonic Neurogenesis and Prevents Precocious Neuronal Differentiation. Journal of Neuroscience. 30(12). 4428–4439. 41 indexed citations
9.
Liu, Jinglan, Zhe Zhang, Masashige Bando, et al.. (2010). Genome-wide DNA methylation analysis in cohesin mutant human cell lines. Nucleic Acids Research. 38(17). 5657–5671. 17 indexed citations
10.
Showe, Michael K., Anil Vachani, Andrew V. Kossenkov, et al.. (2009). Gene Expression Profiles in Peripheral Blood Mononuclear Cells Can Distinguish Patients with Non–Small Cell Lung Cancer from Patients with Nonmalignant Lung Disease. Cancer Research. 69(24). 9202–9210. 125 indexed citations
11.
Blankenhorn, Elizabeth P., Gregory T. Bryan, Andrew V. Kossenkov, et al.. (2009). Genetic loci that regulate healing and regeneration in LG/J and SM/J mice. Mammalian Genome. 20(11-12). 720–733. 43 indexed citations
12.
Fedorov, Vadim B., Anna V. Goropashnaya, Øivind Tøien, et al.. (2009). Elevated expression of protein biosynthesis genes in liver and muscle of hibernating black bears (Ursus americanus). Physiological Genomics. 37(2). 108–118. 88 indexed citations
13.
14.
Bonander, Nicklas, Kristina Hedfalk, Christer Larsson, et al.. (2006). Design of improved membrane protein production experiments in yeast: quantitation of the host response. Microbial Cell Factories. 5(S1). 1 indexed citations
15.
Bonander, Nicklas, Kristina Hedfalk, Christer Larsson, et al.. (2005). Design of improved membrane protein production experiments: Quantitation of the host response. Protein Science. 14(7). 1729–1740. 48 indexed citations
16.
Virók, Dezső P., Andrey Loboda, Laszlo Kari, et al.. (2003). Infection of U937 Monocytic Cells withChlamydia pneumoniaeInduces Extensive Changes in Host Cell Gene Expression. The Journal of Infectious Diseases. 188(9). 1310–1321. 31 indexed citations
17.
Kari, Laszlo, Andrey Loboda, Michael Nebozhyn, et al.. (2003). Classification and Prediction of Survival in Patients with the Leukemic Phase of Cutaneous T Cell Lymphoma. The Journal of Experimental Medicine. 197(11). 1477–1488. 137 indexed citations
18.
Chang, Celia, P.Jacob Varghese, James M. Downey, & Sherman Bloom. (1985). Magnesium deficiency and myocardial infarct size in the dog. Journal of the American College of Cardiology. 5(2). 280–289. 63 indexed citations
19.
Chang, Celia, et al.. (1978). Progressive gross changes in renal medullary composition in pregnant rats. Lipids. 13(3). 167–173. 2 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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