Libing Feng

477 total citations
8 papers, 364 citations indexed

About

Libing Feng is a scholar working on Molecular Biology, Infectious Diseases and Pharmacology. According to data from OpenAlex, Libing Feng has authored 8 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 1 paper in Infectious Diseases and 1 paper in Pharmacology. Recurrent topics in Libing Feng's work include Signaling Pathways in Disease (2 papers), Ubiquitin and proteasome pathways (2 papers) and 14-3-3 protein interactions (2 papers). Libing Feng is often cited by papers focused on Signaling Pathways in Disease (2 papers), Ubiquitin and proteasome pathways (2 papers) and 14-3-3 protein interactions (2 papers). Libing Feng collaborates with scholars based in United States and China. Libing Feng's co-authors include Jonathan A. Cooper, Sergi Simó, Kamel Izeradjene, Philamer Calses, Amy Chang, Martin C. Whittle, Michael Goggins, Sunil R. Hingorani, Ralph H. Hruban and Laura D. Wood and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Genes & Development.

In The Last Decade

Libing Feng

7 papers receiving 361 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Libing Feng United States	5	221	129	88	84	68	8	364
Falk Hertwig Germany	11	329 1.5×	107 0.8×	105 1.2×	156 1.9×	44 0.6×	21	536
Alessandra Santos‐Silva United Kingdom	7	179 0.8×	87 0.7×	84 1.0×	49 0.6×	111 1.6×	8	343
Ingo Stuckmann Germany	4	387 1.8×	139 1.1×	109 1.2×	38 0.5×	76 1.1×	5	502
Adele G. Woolley New Zealand	13	436 2.0×	141 1.1×	41 0.5×	106 1.3×	73 1.1×	17	613
Israel Ben‐Dor Israel	8	304 1.4×	59 0.5×	60 0.7×	36 0.4×	69 1.0×	9	472
Andrea Kabosova United States	5	228 1.0×	87 0.7×	122 1.4×	34 0.4×	61 0.9×	6	459
Zulekha A. Qadeer United States	8	497 2.2×	84 0.7×	59 0.7×	62 0.7×	39 0.6×	8	621
Luipa Khandker United States	7	419 1.9×	78 0.6×	56 0.6×	44 0.5×	24 0.4×	9	547
Chi‐Yeh Chung United States	8	346 1.6×	143 1.1×	23 0.3×	97 1.2×	34 0.5×	10	512
Denise Kottwitz Germany	7	239 1.1×	95 0.7×	67 0.8×	146 1.7×	28 0.4×	12	387

Countries citing papers authored by Libing Feng

Since Specialization

Citations

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

Fields of papers citing papers by Libing Feng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Libing Feng

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

All Works

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8 of 8 papers shown

1.

Chang, Ming, Sambasivan Venkatasubramanian, Holly Barrett, et al.. (2023). Molecular detection of pre-ribosomal RNAs of Mycobacterium bovis bacille Calmette-Guérin and Mycobacterium tuberculosis to enhance pre-clinical tuberculosis drug and vaccine development. Diagnostic Microbiology and Infectious Disease. 108(1). 116106–116106. 1 indexed citations

2.

Wang, Bing, et al.. (2016). State recognition method for machining process of a large spot welder based on improved genetic algorithm and hidden Markov model. Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science. 231(11). 2135–2146. 3 indexed citations

3.

Whittle, Martin C., Kamel Izeradjene, Priya Rani, et al.. (2015). RUNX3 Controls a Metastatic Switch in Pancreatic Ductal Adenocarcinoma. Cell. 161(6). 1345–1360. 156 indexed citations

4.

Feng, Libing & Jonathan A. Cooper. (2008). Dual Functions of Dab1 during Brain Development. Molecular and Cellular Biology. 29(2). 324–332. 48 indexed citations

5.

Feng, Libing, et al.. (2007). Cullin 5 regulates Dab1 protein levels and neuron positioning during cortical development. Genes & Development. 21(21). 2717–2730. 113 indexed citations

6.

Feng, Libing, et al.. (2004). Atrophin-1-interacting Protein 4/Human Itch Is a Ubiquitin E3 Ligase for Human Enhancer of Filamentation 1 in Transforming Growth Factor-β Signaling Pathways. Journal of Biological Chemistry. 279(28). 29681–29690. 30 indexed citations

7.

Huang, Li, Libing Feng, Limin Yang, et al.. (2002). Screen and identification of proteins interacting with ADAM19 cytoplasmic tail. Molecular Biology Reports. 29(3). 317–323. 13 indexed citations

8.

Feng, Libing, Limin Yang, Weiguo Zhou, et al.. (2001). SGK and 14-3-3 protein are involved in the serine/ threonine phosphorylation mechanism for TPO/MPL signal transduction. Chinese Science Bulletin. 46(22). 1880–1884.

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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