Lan V. Zhang

9.5k total citations · 1 hit paper
7 papers, 1.9k citations indexed

About

Lan V. Zhang is a scholar working on Molecular Biology, Pharmacology and Computational Theory and Mathematics. According to data from OpenAlex, Lan V. Zhang has authored 7 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 1 paper in Pharmacology and 1 paper in Computational Theory and Mathematics. Recurrent topics in Lan V. Zhang's work include Bioinformatics and Genomic Networks (6 papers), Fungal and yeast genetics research (4 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). Lan V. Zhang is often cited by papers focused on Bioinformatics and Genomic Networks (6 papers), Fungal and yeast genetics research (4 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). Lan V. Zhang collaborates with scholars based in United States, Canada and Hong Kong. Lan V. Zhang's co-authors include Frederick P. Roth, Debra S. Goldberg, Marc Vidal, Albertha J.M. Walhout, Michael E. Cusick, Nicolas Bertin, Gabriel F. Berriz, Denis Dupuy, Jing‐Dong J. Han and Tong Hao and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Methods.

In The Last Decade

Lan V. Zhang

7 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Evidence for dynamically organized modularity in the yeast protein–protein interaction network

2004 1.3k citations Jing‐Dong J. Han, Nicolas Bertin et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lan V. Zhang United States	7	1.7k	285	169	122	96	7	1.9k
Denis Dupuy France	16	2.2k 1.3×	264 0.9×	267 1.6×	157 1.3×	217 2.3×	29	2.8k
Esti Yeger‐Lotem Israel	24	1.6k 0.9×	162 0.6×	270 1.6×	70 0.6×	156 1.6×	44	2.1k
Andrew Winter United Kingdom	11	1.7k 1.1×	296 1.0×	179 1.1×	35 0.3×	78 0.8×	17	2.0k
Arun Ramani Canada	17	1.9k 1.1×	207 0.7×	256 1.5×	39 0.3×	107 1.1×	39	2.2k
Gabriel F. Berriz United States	12	2.3k 1.4×	295 1.0×	280 1.7×	115 0.9×	138 1.4×	15	2.8k
Arunachalam Vinayagam United States	22	1.9k 1.1×	241 0.8×	238 1.4×	59 0.5×	333 3.5×	30	2.4k
Michael Livstone United States	9	2.2k 1.3×	380 1.3×	295 1.7×	83 0.7×	175 1.8×	10	2.8k
Jerome T. Mettetal United States	18	1.6k 1.0×	213 0.7×	477 2.8×	62 0.5×	150 1.6×	48	2.5k
Nicolas Bertin United States	14	2.6k 1.6×	357 1.3×	247 1.5×	165 1.4×	209 2.2×	23	3.1k
Roland Krause Germany	16	2.0k 1.2×	391 1.4×	216 1.3×	211 1.7×	144 1.5×	30	2.6k

Countries citing papers authored by Lan V. Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Lan V. Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lan V. Zhang. 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 Lan V. Zhang. The network helps show where Lan V. Zhang may publish in the future.

Co-authorship network of co-authors of Lan V. Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Lan V. Zhang. A scholar is included among the top collaborators of Lan V. Zhang 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 Lan V. Zhang. Lan V. Zhang 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:

7 of 7 papers shown

1.

Suzuki, Yo, Robert P. St.Onge, Ramamurthy Mani, et al.. (2011). Knocking out multigene redundancies via cycles of sexual assortment and fluorescence selection. Nature Methods. 8(2). 159–164. 50 indexed citations

2.

Tian, Weidong, Lan V. Zhang, Murat Taşan, et al.. (2008). Combining guilt-by-association and guilt-by-profiling to predict Saccharomyces cerevisiaegene function. Genome biology. 9(S1). S7–S7. 76 indexed citations

3.

Zhang, Lan V., et al.. (2005). Discovering functional relationships: biochemistry versus genetics. Trends in Genetics. 21(8). 424–427. 18 indexed citations

4.

Zhang, Lan V., Oliver D. King, Debra S. Goldberg, et al.. (2005). Motifs, themes and thematic maps of an integrated Saccharomyces cerevisiaeinteraction network. Journal of Biology. 4(2). 6–6. 134 indexed citations

5.

Han, Jing‐Dong J., Nicolas Bertin, Tong Hao, et al.. (2004). Evidence for dynamically organized modularity in the yeast protein–protein interaction network. Nature. 430(6995). 88–93. 1301 indexed citations breakdown →

6.

Zhang, Lan V., et al.. (2004). Predicting co-complexed protein pairs using genomic and proteomic data integration. BMC Bioinformatics. 5(1). 38–38. 125 indexed citations

7.

Zhang, Lan V., Amy H.Y. Tong, Zhijian Li, et al.. (2004). Combining biological networks to predict genetic interactions. Proceedings of the National Academy of Sciences. 101(44). 15682–15687. 175 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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