Chin‐Feng Hwang

1.0k total citations
19 papers, 760 citations indexed

About

Chin‐Feng Hwang is a scholar working on Plant Science, Food Science and Cell Biology. According to data from OpenAlex, Chin‐Feng Hwang has authored 19 papers receiving a total of 760 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Plant Science, 5 papers in Food Science and 4 papers in Cell Biology. Recurrent topics in Chin‐Feng Hwang's work include Horticultural and Viticultural Research (8 papers), Nematode management and characterization studies (6 papers) and Fermentation and Sensory Analysis (5 papers). Chin‐Feng Hwang is often cited by papers focused on Horticultural and Viticultural Research (8 papers), Nematode management and characterization studies (6 papers) and Fermentation and Sensory Analysis (5 papers). Chin‐Feng Hwang collaborates with scholars based in United States, Chile and China. Chin‐Feng Hwang's co-authors include Valerie M. Williamson, Chee Leong Cheng, Yun Lin, Duroy A. Navarre, Theresa D’Souza, Li-Ling Chen, James B. Brown, S Samuel Yang, Roy Navarre and Vanessa Handley and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Plant Cell and PLANT PHYSIOLOGY.

In The Last Decade

Chin‐Feng Hwang

19 papers receiving 736 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chin‐Feng Hwang United States 11 722 169 78 70 56 19 760
Cecilia B. Agüero United States 13 566 0.8× 298 1.8× 80 1.0× 55 0.8× 69 1.2× 34 621
Richard A. DeScenzo United States 10 244 0.3× 137 0.8× 85 1.1× 21 0.3× 75 1.3× 11 326
Marie Christine Le Paslier France 6 369 0.5× 177 1.0× 96 1.2× 15 0.2× 44 0.8× 6 428
Hong Lin China 13 345 0.5× 189 1.1× 121 1.6× 17 0.2× 54 1.0× 33 422
Rémi Bounon France 9 488 0.7× 313 1.9× 107 1.4× 13 0.2× 52 0.9× 9 591
Paul Schellenbaum France 13 609 0.8× 417 2.5× 53 0.7× 19 0.3× 119 2.1× 16 722
Mauro Bardini Italy 9 326 0.5× 239 1.4× 124 1.6× 11 0.2× 27 0.5× 9 411
Lorenza Dalla Costa Italy 14 472 0.7× 357 2.1× 44 0.6× 84 1.2× 67 1.2× 31 576
Consuelo Medina Chile 12 512 0.7× 300 1.8× 28 0.4× 40 0.6× 21 0.4× 23 568
Jean-Éric Chauvin France 13 503 0.7× 479 2.8× 61 0.8× 68 1.0× 30 0.5× 28 625

Countries citing papers authored by Chin‐Feng Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Chin‐Feng Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chin‐Feng Hwang. 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 Chin‐Feng Hwang. The network helps show where Chin‐Feng Hwang may publish in the future.

Co-authorship network of co-authors of Chin‐Feng Hwang

This figure shows the co-authorship network connecting the top 25 collaborators of Chin‐Feng Hwang. A scholar is included among the top collaborators of Chin‐Feng Hwang 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 Chin‐Feng Hwang. Chin‐Feng Hwang 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.
Chen, Liling, et al.. (2021). Identification of QTLs for berry acid and tannin in a <i>Vitis aestivalis</i>-derived 'Norton'-based population. SHILAP Revista de lepidopterología. 1(1). 1–11. 4 indexed citations
2.
Lee, Cheng‐Ruei, Paola Barba, S Samuel Yang, et al.. (2019). Quantitative Trait Locus Analysis of Leaf Morphology Indicates Conserved Shape Loci in Grapevine. Frontiers in Plant Science. 10. 1373–1373. 20 indexed citations
3.
4.
Schneider, Stefan, et al.. (2019). Genetic diversity of ten black walnut (Juglans nigra L.) cultivars and construction of a mapping population. Tree Genetics & Genomes. 15(4). 6 indexed citations
5.
Chen, Li-Ling, et al.. (2018). Construction of a high-density linkage map and QTL detection of downy mildew resistance in Vitis aestivalis-derived ‘Norton’. Theoretical and Applied Genetics. 132(1). 137–147. 45 indexed citations
6.
7.
Chen, Li-Ling, et al.. (2015). A phenotypic study of Botrytis bunch rot resistance in Vitis aestivalis-derived ‘Norton’ grape. Tropical Plant Pathology. 40(4). 279–282. 8 indexed citations
8.
Hwang, Chin‐Feng, et al.. (2014). CLONING AND CHARACTERIZATION OF THE DAGGER NEMATODE RESISTANCE GENE XIR1. Acta Horticulturae. 391–394. 1 indexed citations
9.
Adhikari, Pragya, et al.. (2014). Interspecific hybrid identification of Vitis aestivalis-derived ‘Norton’-based populations using microsatellite markers. Scientia Horticulturae. 179. 363–366. 7 indexed citations
10.
Bokulich, Nicholas A., Chin‐Feng Hwang, Shuwen Liu, Kyria Boundy‐Mills, & David A. Mills. (2011). Profiling the Yeast Communities of Wine Fermentations Using Terminal Restriction Fragment Length Polymorphism Analysis. American Journal of Enology and Viticulture. 63(2). 185–194. 19 indexed citations
11.
Hwang, Chin‐Feng, Kenong Xu, Rong Hu, et al.. (2010). Cloning and characterization of XiR1, a locus responsible for dagger nematode resistance in grape. Theoretical and Applied Genetics. 121(4). 789–799. 16 indexed citations
12.
Hu, Gongshe, Yansu Li, Carolyn V. Ustach, et al.. (2005). EDS1 in tomato is required for resistance mediated by TIR‐class R genes and the receptor‐like R gene Ve. The Plant Journal. 42(3). 376–391. 91 indexed citations
13.
Hwang, Chin‐Feng, et al.. (2004). Salicylic Acid Is Part of theMi-1-Mediated Defense Response to Root-Knot Nematode in Tomato. Molecular Plant-Microbe Interactions. 17(4). 351–356. 121 indexed citations
14.
Ilarduya, Óscar Martínez de, Gloria Nombela, Chin‐Feng Hwang, et al.. (2004). Rme1 is Necessary for Mi-1-Mediated Resistance and Acts Early in the Resistance Pathway. Molecular Plant-Microbe Interactions. 17(1). 55–61. 31 indexed citations
15.
Hwang, Chin‐Feng & Valerie M. Williamson. (2003). Leucine‐rich repeat‐mediated intramolecular interactions in nematode recognition and cell death signaling by the tomato resistance protein Mi. The Plant Journal. 34(5). 585–593. 103 indexed citations
16.
Hwang, Chin‐Feng, et al.. (2000). Evidence for a Role of the N Terminus and Leucine-Rich Repeat Region of the Mi Gene Product in Regulation of Localized Cell Death. The Plant Cell. 12(8). 1319–1329. 146 indexed citations
17.
Hwang, Chin‐Feng, et al.. (2000). Evidence for a Role of the N Terminus and Leucine-Rich Repeat Region of the Mi Gene Product in Regulation of Localized Cell Death. The Plant Cell. 12(8). 1319–1319. 9 indexed citations
18.
Hwang, Chin‐Feng, Yun Lin, Theresa D’Souza, & Chee Leong Cheng. (1997). Sequences Necessary for Nitrate-Dependent Transcription of Arabidopsis Nitrate Reductase Genes. PLANT PHYSIOLOGY. 113(3). 853–862. 71 indexed citations
19.
Lin, Yun, Chin‐Feng Hwang, James B. Brown, & Chee Leong Cheng. (1994). 5[prime] Proximal Regions of Arabidopsis Nitrate Reductase Genes Direct Nitrate-Induced Transcription in Transgenic Tobacco. PLANT PHYSIOLOGY. 106(2). 477–484. 53 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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