Mei-Fang Lu

1.7k total citations
8 papers, 1.4k citations indexed

About

Mei-Fang Lu is a scholar working on Molecular Biology, Surgery and Cellular and Molecular Neuroscience. According to data from OpenAlex, Mei-Fang Lu has authored 8 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 1 paper in Surgery and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Mei-Fang Lu's work include Developmental Biology and Gene Regulation (5 papers), Congenital heart defects research (3 papers) and dental development and anomalies (3 papers). Mei-Fang Lu is often cited by papers focused on Developmental Biology and Gene Regulation (5 papers), Congenital heart defects research (3 papers) and dental development and anomalies (3 papers). Mei-Fang Lu collaborates with scholars based in United States, United Kingdom and China. Mei-Fang Lu's co-authors include James F. Martin, Robert J. Schwartz, Lijiang Ma, Wei Liu, Randy L. Johnson, C. Pressman, Jennifer Selever, Chengyu Liu, Nigel A. Brown and Degang Wang and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Molecular and Cellular Biology.

In The Last Decade

Mei-Fang Lu

8 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mei-Fang Lu United States	7	1.2k	268	215	175	164	8	1.4k
Sonia Bartunkova Belgium	13	949 0.8×	212 0.8×	161 0.7×	142 0.8×	150 0.9×	15	1.2k
David J. Pennisi Australia	19	1.1k 0.9×	296 1.1×	169 0.8×	113 0.6×	237 1.4×	35	1.6k
Holger Kulessa United States	13	1.2k 1.0×	190 0.7×	101 0.5×	97 0.6×	144 0.9×	13	1.7k
Cornelia Wiese Germany	11	1.1k 0.9×	113 0.4×	338 1.6×	111 0.6×	284 1.7×	13	1.5k
Beth A. Firulli United States	20	1.1k 0.9×	283 1.1×	120 0.6×	154 0.9×	151 0.9×	34	1.2k
Clifford J. Tabin United States	11	1.3k 1.1×	372 1.4×	90 0.4×	191 1.1×	137 0.8×	12	1.4k
Steven B. Bleyl United States	20	869 0.7×	276 1.0×	483 2.2×	229 1.3×	302 1.8×	42	1.4k
Yukiko Sugi United States	20	1.4k 1.2×	270 1.0×	514 2.4×	237 1.4×	475 2.9×	39	1.8k
Andre Nagy United States	17	880 0.7×	378 1.4×	70 0.3×	105 0.6×	112 0.7×	21	1.1k
Adam Shaw United Kingdom	15	992 0.8×	357 1.3×	78 0.4×	134 0.8×	92 0.6×	27	1.5k

Countries citing papers authored by Mei-Fang Lu

Since Specialization

Citations

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

Fields of papers citing papers by Mei-Fang Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mei-Fang Lu. 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 Mei-Fang Lu. The network helps show where Mei-Fang Lu may publish in the future.

Co-authorship network of co-authors of Mei-Fang Lu

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Zhang, Min, Mei-Fang Lu, Hao Huang, et al.. (2019). Maturation of thalamocortical synapses in the somatosensory cortex depends on neocortical AKAP5 expression. Neuroscience Letters. 709. 134374–134374. 3 indexed citations

2.

Ai, Di, et al.. (2007). Nuclear Factor 1 and T-Cell Factor/LEF Recognition Elements Regulate Pitx2 Transcription in Pituitary Development. Molecular and Cellular Biology. 27(16). 5765–5775. 29 indexed citations

3.

Ma, Lijiang, Mei-Fang Lu, Robert J. Schwartz, & James F. Martin. (2005). Bmp2is essential for cardiac cushion epithelial-mesenchymal transition and myocardial patterning. Development. 132(24). 5601–5611. 400 indexed citations

4.

Liu, Wei, Jennifer Selever, Degang Wang, et al.. (2004). Bmp4 signaling is required for outflow-tract septation and branchial-arch artery remodeling. Proceedings of the National Academy of Sciences. 101(13). 4489–4494. 175 indexed citations

5.

Liu, Wei, Jennifer Selever, Mei-Fang Lu, & James F. Martin. (2003). Genetic dissection ofPitx2in craniofacial development uncovers new functions in branchial arch morphogenesis, late aspects of tooth morphogenesis and cell migration. Development. 130(25). 6375–6385. 116 indexed citations

6.

Liu, Chengyu, Wei Liu, Mei-Fang Lu, Nigel A. Brown, & James F. Martin. (2001). Regulation of left-right asymmetry by thresholds of Pitx2c activity. Development. 128(11). 2039–2048. 167 indexed citations

7.

Lu, Mei-Fang, et al.. (1999). Function of Rieger syndrome gene in left–right asymmetry and craniofacial development. Nature. 401(6750). 276–278. 426 indexed citations

8.

Pisegna, Marlese A., et al.. (1994). Activation of Xenopus MyoD Transcription by Members of the MEF2 Protein Family. Developmental Biology. 166(2). 683–695. 35 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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