Christopher N. James

950 total citations
8 papers, 762 citations indexed

About

Christopher N. James is a scholar working on Biochemistry, Molecular Biology and Plant Science. According to data from OpenAlex, Christopher N. James has authored 8 papers receiving a total of 762 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biochemistry, 7 papers in Molecular Biology and 2 papers in Plant Science. Recurrent topics in Christopher N. James's work include Lipid metabolism and biosynthesis (8 papers), Plant biochemistry and biosynthesis (4 papers) and Research in Cotton Cultivation (2 papers). Christopher N. James is often cited by papers focused on Lipid metabolism and biosynthesis (8 papers), Plant biochemistry and biosynthesis (4 papers) and Research in Cotton Cultivation (2 papers). Christopher N. James collaborates with scholars based in United States, Canada and Australia. Christopher N. James's co-authors include Kent D. Chapman, Patrick J. Horn, Satinder K. Gidda, Robert T. Mullen, John M. Dyer, John B. Ohlrogge, Aruna Kilaru, Jean‐Philippe Ral, Qing Liu and Noemí Ruiz‐López and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Plant Cell.

In The Last Decade

Christopher N. James

8 papers receiving 750 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher N. James United States 8 575 514 271 95 60 8 762
O. P. Yurchenko Canada 15 692 1.2× 712 1.4× 386 1.4× 105 1.1× 7 0.1× 24 943
Yingqi Cai United States 12 539 0.9× 542 1.1× 292 1.1× 76 0.8× 6 0.1× 21 719
Peter K. Lundquist United States 12 513 0.9× 147 0.3× 350 1.3× 27 0.3× 46 0.8× 26 720
E. Wiberg Sweden 6 417 0.7× 453 0.9× 174 0.6× 75 0.8× 6 0.1× 6 571
Line Sandager Sweden 5 802 1.4× 929 1.8× 362 1.3× 131 1.4× 8 0.1× 5 1.1k
Pascale Jolivet France 9 316 0.5× 289 0.6× 163 0.6× 35 0.4× 33 0.6× 11 481
Pablo Tarazona Germany 8 288 0.5× 97 0.2× 140 0.5× 33 0.3× 39 0.7× 8 385
Arturo López‐Villalobos Canada 7 344 0.6× 276 0.5× 298 1.1× 35 0.4× 9 0.1× 11 521
Michal Pyc Canada 10 445 0.8× 422 0.8× 274 1.0× 56 0.6× 5 0.1× 10 597
Kevin L. Stecca United States 11 621 1.1× 601 1.2× 671 2.5× 130 1.4× 9 0.1× 11 1.1k

Countries citing papers authored by Christopher N. James

Since Specialization
Citations

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

Fields of papers citing papers by Christopher N. James

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher N. James. 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 Christopher N. James. The network helps show where Christopher N. James may publish in the future.

Co-authorship network of co-authors of Christopher N. James

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher N. James. A scholar is included among the top collaborators of Christopher N. James 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 Christopher N. James. Christopher N. James 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.
Gidda, Satinder K., Christopher N. James, Alyssa Schami, et al.. (2019). Mouse Fat-Specific Protein 27 (FSP27) expressed in plant cells localizes to lipid droplets and promotes lipid droplet accumulation and fusion. Biochimie. 169. 41–53. 17 indexed citations
2.
Park, Sunjung, Jantana Keereetaweep, Christopher N. James, et al.. (2014). CGI-58, a key regulator of lipid homeostasis and signaling in plants, also regulates polyamine metabolism. Plant Signaling & Behavior. 9(2). e27723–e27723. 9 indexed citations
3.
Park, Sunjung, Satinder K. Gidda, Christopher N. James, et al.. (2013). The α/β Hydrolase CGI-58 and Peroxisomal Transport Protein PXA1 Coregulate Lipid Homeostasis and Signaling in Arabidopsis  . The Plant Cell. 25(5). 1726–1739. 76 indexed citations
4.
Gidda, Satinder K., Aruna Kilaru, Vincent Arondel, et al.. (2013). Lipid droplet-associated proteins (LDAPs) are involved in the compartmentalization of lipophilic compounds in plant cells. Plant Signaling & Behavior. 8(11). e27141–e27141. 54 indexed citations
5.
Horn, Patrick J., Christopher N. James, Satinder K. Gidda, et al.. (2013). Identification of a New Class of Lipid Droplet-Associated Proteins in Plants   . PLANT PHYSIOLOGY. 162(4). 1926–1936. 168 indexed citations
6.
Vanhercke, Thomas, Anna El Tahchy, Qing Liu, et al.. (2013). Metabolic engineering of biomass for high energy density: oilseed‐like triacylglycerol yields from plant leaves. Plant Biotechnology Journal. 12(2). 231–239. 250 indexed citations
7.
James, Christopher N., Patrick J. Horn, Satinder K. Gidda, et al.. (2010). Disruption of the Arabidopsis CGI-58 homologue produces Chanarin–Dorfman-like lipid droplet accumulation in plants. Proceedings of the National Academy of Sciences. 107(41). 17833–17838. 116 indexed citations
8.
Horn, Patrick J., et al.. (2010). Visualization of Lipid Droplet Composition by Direct Organelle Mass Spectrometry. Journal of Biological Chemistry. 286(5). 3298–3306. 72 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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