Christelle Kamga

1.4k total citations · 2 hit papers
8 papers, 1.1k citations indexed

About

Christelle Kamga is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Christelle Kamga has authored 8 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Physiology and 2 papers in Epidemiology. Recurrent topics in Christelle Kamga's work include Mitochondrial Function and Pathology (4 papers), Autophagy in Disease and Therapy (2 papers) and Nitric Oxide and Endothelin Effects (2 papers). Christelle Kamga is often cited by papers focused on Mitochondrial Function and Pathology (4 papers), Autophagy in Disease and Therapy (2 papers) and Nitric Oxide and Endothelin Effects (2 papers). Christelle Kamga collaborates with scholars based in United States and Uruguay. Christelle Kamga's co-authors include Sruti Shiva, Simon C. Watkins, Russell D. Salter, Peter A. Keyel, Michelle E. Heid, Charleen T. Chu, Catherine Corey, Claudette M. St. Croix, Jose D. Herazo‐Maya and Ana L. Mora and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Immunology and The FASEB Journal.

In The Last Decade

Christelle Kamga

8 papers receiving 1.1k citations

Hit Papers

Mitochondrial Reactive Oxygen Species Induces NLRP3-Depen... 2013 2026 2017 2021 2013 2014 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christelle Kamga United States 7 585 341 233 183 136 8 1.1k
David L. Ebenezer United States 16 625 1.1× 231 0.7× 92 0.4× 170 0.9× 108 0.8× 27 944
Anantha Harijith United States 20 718 1.2× 449 1.3× 116 0.5× 241 1.3× 163 1.2× 36 1.3k
Jeffrey D. Ritzenthaler United States 22 714 1.2× 221 0.6× 140 0.6× 137 0.7× 135 1.0× 37 1.4k
Kaushik Parthasarathi United States 19 491 0.8× 456 1.3× 78 0.3× 165 0.9× 260 1.9× 42 1.2k
Qilin Yu China 22 486 0.8× 262 0.8× 185 0.8× 274 1.5× 168 1.2× 45 1.3k
Mengyuan Kan China 19 421 0.7× 159 0.5× 101 0.4× 154 0.8× 249 1.8× 35 931
Lihua Ying United States 17 358 0.6× 140 0.4× 155 0.7× 179 1.0× 88 0.6× 27 1.0k
Juan Cai China 18 428 0.7× 122 0.4× 293 1.3× 185 1.0× 103 0.8× 43 1.1k
Mingyo Kim South Korea 11 334 0.6× 135 0.4× 134 0.6× 269 1.5× 90 0.7× 30 892
Adrián Recinos United States 16 499 0.9× 442 1.3× 190 0.8× 413 2.3× 134 1.0× 20 1.7k

Countries citing papers authored by Christelle Kamga

Since Specialization
Citations

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

Fields of papers citing papers by Christelle Kamga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christelle Kamga

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

All Works

8 of 8 papers shown
1.
Khare, Anupriya, Mahesh Raundhal, Krishnendu Chakraborty, et al.. (2016). Mitochondrial H2O2 in Lung Antigen-Presenting Cells Blocks NF-κB Activation to Prevent Unwarranted Immune Activation. Cell Reports. 15(8). 1700–1714. 20 indexed citations
2.
Chen, Bill B., Tiffany A. Coon, Jennifer R. Glasser, et al.. (2014). E3 Ligase Subunit Fbxo15 and PINK1 Kinase Regulate Cardiolipin Synthase 1 Stability and Mitochondrial Function in Pneumonia. Cell Reports. 7(2). 476–487. 42 indexed citations
3.
Bueno, Marta, Yen‐Chun Lai, Yair Romero, et al.. (2014). PINK1 deficiency impairs mitochondrial homeostasis and promotes lung fibrosis. Journal of Clinical Investigation. 125(2). 521–538. 447 indexed citations breakdown →
4.
Heid, Michelle E., Peter A. Keyel, Christelle Kamga, et al.. (2013). Mitochondrial Reactive Oxygen Species Induces NLRP3-Dependent Lysosomal Damage and Inflammasome Activation. The Journal of Immunology. 191(10). 5230–5238. 452 indexed citations breakdown →
5.
Kamga, Christelle, et al.. (2012). Myoglobin and mitochondria: A relationship bound by oxygen and nitric oxide. Nitric Oxide. 26(4). 251–258. 57 indexed citations
6.
Murillo, Daniel, Christelle Kamga, Li Mo, & Sruti Shiva. (2011). Nitrite as a mediator of ischemic preconditioning and cytoprotection. Nitric Oxide. 25(2). 70–80. 45 indexed citations
7.
Kamga, Christelle, Shelley X. Zhang, & Yang Wang. (2010). Dicarboxylate carrier-mediated glutathione transport is essential for reactive oxygen species homeostasis and normal respiration in rat brain mitochondria. American Journal of Physiology-Cell Physiology. 299(2). C497–C505. 41 indexed citations
8.
Kamga, Christelle, et al.. (2008). UCP4 is a key regulator of mitochondrial antioxidant defense in rat PC12 cells. The FASEB Journal. 22(S1). 1 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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