L H Wang

421 total citations
8 papers, 368 citations indexed

About

L H Wang is a scholar working on Molecular Biology, Genetics and Animal Science and Zoology. According to data from OpenAlex, L H Wang has authored 8 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Animal Science and Zoology. Recurrent topics in L H Wang's work include Virus-based gene therapy research (4 papers), RNA and protein synthesis mechanisms (3 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). L H Wang is often cited by papers focused on Virus-based gene therapy research (4 papers), RNA and protein synthesis mechanisms (3 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). L H Wang collaborates with scholars based in United States. L H Wang's co-authors include Thambi Dorai, Joan S. Brugge, Joan Levy, Masaaki Shibuya, M T Hsu, Wendi S. Neckameyer, L Ellis, William J. Rutter, Richard A. Roth and Darlene Dixon and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Molecular and Cellular Biology.

In The Last Decade

L H Wang

8 papers receiving 355 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
L H Wang United States	8	297	75	69	47	41	8	368
Kanchana Natarajan United States	10	226 0.8×	40 0.5×	50 0.7×	87 1.9×	28 0.7×	11	357
Carol A. Sauvage United States	8	186 0.6×	70 0.9×	66 1.0×	80 1.7×	88 2.1×	9	463
Maxime Pinard Canada	10	306 1.0×	112 1.5×	40 0.6×	49 1.0×	52 1.3×	20	499
Reiner Harder Germany	7	189 0.6×	45 0.6×	42 0.6×	28 0.6×	85 2.1×	8	483
Martina Nazarea Japan	6	303 1.0×	63 0.8×	26 0.4×	44 0.9×	12 0.3×	9	450
Karen K. Nelson United States	9	344 1.2×	107 1.4×	26 0.4×	201 4.3×	15 0.4×	12	503
Christopher D. Heger United States	8	243 0.8×	74 1.0×	22 0.3×	75 1.6×	42 1.0×	16	375
Han Zhong Pei China	12	412 1.4×	38 0.5×	55 0.8×	67 1.4×	32 0.8×	19	509
George A. Abou-Rjaily United States	6	241 0.8×	90 1.2×	13 0.2×	133 2.8×	39 1.0×	6	394
Gisela Zürcher Switzerland	6	193 0.6×	112 1.5×	45 0.7×	62 1.3×	26 0.6×	8	347

Countries citing papers authored by L H Wang

Since Specialization

Citations

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

Fields of papers citing papers by L H Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L H Wang. 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 L H Wang. The network helps show where L H Wang may publish in the future.

Co-authorship network of co-authors of L H Wang

This figure shows the co-authorship network connecting the top 25 collaborators of L H Wang. A scholar is included among the top collaborators of L H Wang 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 L H Wang. L H Wang 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.

Zong, Cong S., Betty Poon, Jin Chen, & L H Wang. (1993). Molecular and biochemical bases for activation of the transforming potential of the proto-oncogene c-ros. Journal of Virology. 67(11). 6453–6462. 23 indexed citations

2.

Wang, L H, et al.. (1991). Two point mutations in the transmembrane domain of P68gag-ros inactive its transforming activity and cause a delay in membrane association. Journal of Virology. 65(1). 180–189. 11 indexed citations

3.

Wang, L H, et al.. (1990). Role of gag sequence in the biochemical properties and transforming activity of the avian sarcoma virus UR2-encoded gag-ros fusion protein. Journal of Virology. 64(12). 5997–6009. 13 indexed citations

4.

Boulton, Teri G., et al.. (1990). Evidence for insulin-dependent activation of S6 and microtubule-associated protein-2 kinases via a human insulin receptor/v-ros hybrid.. Journal of Biological Chemistry. 265(5). 2713–2719. 37 indexed citations

5.

Ellis, L, et al.. (1987). Heterologous transmembrane signaling by a human insulin receptor-v-ros hybrid in Chinese hamster ovary cells.. Proceedings of the National Academy of Sciences. 84(15). 5101–5105. 37 indexed citations

6.

Wang, L H, et al.. (1987). Activation of transforming potential of the human insulin receptor gene.. Proceedings of the National Academy of Sciences. 84(16). 5725–5729. 39 indexed citations

7.

Levy, Joan, Thambi Dorai, L H Wang, & Joan S. Brugge. (1987). The structurally distinct form of pp60c-src detected in neuronal cells is encoded by a unique c-src mRNA.. Molecular and Cellular Biology. 7(11). 4142–4145. 124 indexed citations

8.

Neckameyer, Wendi S., Masaaki Shibuya, M T Hsu, & L H Wang. (1986). Proto-oncogene c-ros codes for a molecule with structural features common to those of growth factor receptors and displays tissue specific and developmentally regulated expression.. Molecular and Cellular Biology. 6(5). 1478–1486. 84 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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