Wei‐Meng Woo

516 total citations
11 papers, 396 citations indexed

About

Wei‐Meng Woo is a scholar working on Molecular Biology, Urology and Cell Biology. According to data from OpenAlex, Wei‐Meng Woo has authored 11 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Urology and 5 papers in Cell Biology. Recurrent topics in Wei‐Meng Woo's work include Hair Growth and Disorders (5 papers), Skin and Cellular Biology Research (3 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). Wei‐Meng Woo is often cited by papers focused on Hair Growth and Disorders (5 papers), Skin and Cellular Biology Research (3 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). Wei‐Meng Woo collaborates with scholars based in United States, Taiwan and Japan. Wei‐Meng Woo's co-authors include Anthony E. Oro, Hanson H. Zhen, Andrew Chisholm, Alexandr Goncharov, Yishi Jin, Mei Ding, Sue Lin‐Chao, Martin L. Hudson, Emily Berry and Atsushi Terunuma and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Genes & Development.

In The Last Decade

Wei‐Meng Woo

11 papers receiving 390 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wei‐Meng Woo United States	9	199	174	156	90	81	11	396
Melina Grigorian United States	8	182 0.9×	92 0.5×	73 0.5×	8 0.1×	75 0.9×	9	515
Samara Brown United States	11	378 1.9×	38 0.2×	135 0.9×	9 0.1×	31 0.4×	12	562
Randall B. Widelitz United States	11	332 1.7×	95 0.5×	133 0.9×	12 0.1×	29 0.4×	18	437
Rosanna Man Wah Chau United States	5	213 1.1×	71 0.4×	94 0.6×	4 0.0×	43 0.5×	5	375
Edward Marsh United States	5	102 0.5×	36 0.2×	96 0.6×	5 0.1×	60 0.7×	5	282
Jamal-Eddine Bouameur Switzerland	8	187 0.9×	42 0.2×	274 1.8×	6 0.1×	30 0.4×	10	413
Emil Aamar Israel	11	292 1.5×	85 0.5×	120 0.8×	2 0.0×	41 0.5×	12	430
Robert Lersch United States	12	368 1.8×	57 0.3×	150 1.0×	8 0.1×	24 0.3×	20	576
Yana G. Kamberov United States	8	209 1.1×	27 0.2×	66 0.4×	3 0.0×	25 0.3×	10	320
Amandine Vanhoutteghem France	11	184 0.9×	37 0.2×	79 0.5×	2 0.0×	17 0.2×	13	289

Countries citing papers authored by Wei‐Meng Woo

Since Specialization

Citations

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

Fields of papers citing papers by Wei‐Meng Woo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei‐Meng Woo. 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 Wei‐Meng Woo. The network helps show where Wei‐Meng Woo may publish in the future.

Co-authorship network of co-authors of Wei‐Meng Woo

This figure shows the co-authorship network connecting the top 25 collaborators of Wei‐Meng Woo. A scholar is included among the top collaborators of Wei‐Meng Woo 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 Wei‐Meng Woo. Wei‐Meng Woo 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:

11 of 11 papers shown

1.

Tan, Nguan Soon, et al.. (2021). A PDZ Protein GIPC3 Positively Modulates Hedgehog Signaling and Melanoma Growth. Journal of Investigative Dermatology. 142(1). 179–188.e4. 4 indexed citations

2.

Woo, Wei‐Meng, Scott X. Atwood, Hanson H. Zhen, & Anthony E. Oro. (2013). Rapid Genetic Analysis of Epithelial-Mesenchymal Signaling During Hair Regeneration. Journal of Visualized Experiments. e4344–e4344. 9 indexed citations

3.

Xiao, Ying, Wei‐Meng Woo, Keisuke Nagao, et al.. (2013). Perivascular Hair Follicle Stem Cells Associate with a Venule Annulus. Journal of Investigative Dermatology. 133(10). 2324–2331. 39 indexed citations

4.

Woo, Wei‐Meng, Scott X. Atwood, Hanson H. Zhen, & Anthony E. Oro. (2013). Rapid Genetic Analysis of Epithelial-Mesenchymal Signaling During Hair Regeneration. Journal of Visualized Experiments. 2 indexed citations

5.

Woo, Wei‐Meng, Hanson H. Zhen, & Anthony E. Oro. (2012). Shh maintains dermal papilla identity and hair morphogenesis via a Noggin–Shh regulatory loop. Genes & Development. 26(11). 1235–1246. 138 indexed citations

6.

Woo, Wei‐Meng & Anthony E. Oro. (2011). SnapShot: Hair Follicle Stem Cells. Cell. 146(2). 334–334.e2. 46 indexed citations

7.

Woo, Wei‐Meng, et al.. (2008). The C. elegans F-spondin family protein SPON-1 maintains cell adhesion in neural and non-neural tissues. Development. 135(16). 2747–2756. 29 indexed citations

8.

Ding, Mei, Wei‐Meng Woo, & Andrew Chisholm. (2004). The cytoskeleton and epidermal morphogenesis in. Experimental Cell Research. 301(1). 84–90. 34 indexed citations

9.

Woo, Wei‐Meng, Alexandr Goncharov, Yishi Jin, & Andrew Chisholm. (2003). Intermediate filaments are required for C. elegans epidermal elongation. Developmental Biology. 267(1). 216–229. 65 indexed citations

10.

Woo, Wei‐Meng, et al.. (1999). The Gas7 Gene Encodes Two Protein Isoforms Differentially Expressed within the Brain. Genomics. 61(3). 298–306. 21 indexed citations

11.

Woo, Wei‐Meng & Sue Lin‐Chao. (1997). Processing of the rne Transcript by an RNase E-independent Amino Acid-dependent Mechanism. Journal of Biological Chemistry. 272(24). 15516–15520. 9 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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