Lynn Zhang

508 total citations
9 papers, 389 citations indexed

About

Lynn Zhang is a scholar working on Molecular Biology, Information Systems and Physiology. According to data from OpenAlex, Lynn Zhang has authored 9 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Information Systems and 2 papers in Physiology. Recurrent topics in Lynn Zhang's work include Receptor Mechanisms and Signaling (2 papers), Biochemical Analysis and Sensing Techniques (2 papers) and Service-Oriented Architecture and Web Services (1 paper). Lynn Zhang is often cited by papers focused on Receptor Mechanisms and Signaling (2 papers), Biochemical Analysis and Sensing Techniques (2 papers) and Service-Oriented Architecture and Web Services (1 paper). Lynn Zhang collaborates with scholars based in United States, Netherlands and France. Lynn Zhang's co-authors include Brian Bates, Taiki Tojo, Ha Won Kim, Tohru Fukai, Nikolay Patrushev, Minako Yamaoka‐Tojo, Lula Hilenski, Masuko Ushio‐Fukai, Janet Paulsen and Daizaburo Shizuka and has published in prestigious journals such as PLoS ONE, Brain Research and Ecology Letters.

In The Last Decade

Lynn Zhang

8 papers receiving 385 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lynn Zhang United States	7	211	120	79	50	45	9	389
Rebecca Bounds United States	13	260 1.2×	129 1.1×	81 1.0×	57 1.1×	63 1.4×	18	665
Anna‐Elisa Roser Germany	9	193 0.9×	110 0.9×	110 1.4×	45 0.9×	28 0.6×	10	553
Catherine A. Sei United States	14	370 1.8×	166 1.4×	85 1.1×	39 0.8×	65 1.4×	22	555
Monica Jenstad Norway	9	173 0.8×	182 1.5×	41 0.5×	18 0.4×	66 1.5×	10	390
Galina Apostolova Austria	11	233 1.1×	97 0.8×	31 0.4×	50 1.0×	21 0.5×	16	380
Aaron Kolski‐Andreaco United States	7	213 1.0×	120 1.0×	45 0.6×	12 0.2×	12 0.3×	20	340
Robnet T. Kerns United States	12	325 1.5×	102 0.8×	160 2.0×	32 0.6×	23 0.5×	18	592
Shanping Shi China	10	218 1.0×	241 2.0×	56 0.7×	69 1.4×	21 0.5×	18	494
Shailaja Kishan Rao United States	7	163 0.8×	46 0.4×	71 0.9×	87 1.7×	24 0.5×	10	363
Razina Aziz‐Bose United States	7	175 0.8×	66 0.6×	62 0.8×	19 0.4×	51 1.1×	10	306

Countries citing papers authored by Lynn Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Lynn Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lynn Zhang

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

All Works

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9 of 9 papers shown

1.

Guess, Jamey, Chia Lin Chu, Edward Cochran, et al.. (2018). Necuparanib, A Multitargeting Heparan Sulfate Mimetic, Targets Tumor and Stromal Compartments in Pancreatic Cancer. Molecular Cancer Therapeutics. 18(2). 245–256. 18 indexed citations

2.

Chaine, Alexis S., et al.. (2018). Manipulating badges of status only fools strangers. Ecology Letters. 21(10). 1477–1485. 34 indexed citations

3.

Zhang, Lynn, et al.. (2013). Quantifying nitrate content in the Japanese food pattern.

4.

Schack, David von, Michael Agostino, Yizheng Li, et al.. (2011). Dynamic Changes in the MicroRNA Expression Profile Reveal Multiple Regulatory Mechanisms in the Spinal Nerve Ligation Model of Neuropathic Pain. PLoS ONE. 6(3). e17670–e17670. 123 indexed citations

5.

Logue, Sheree F., Steven M. Grauer, Janet Paulsen, et al.. (2009). The orphan GPCR, GPR88, modulates function of the striatal dopamine system: A possible therapeutic target for psychiatric disorders?. Molecular and Cellular Neuroscience. 42(4). 438–447. 70 indexed citations

6.

Bates, Brian, Lynn Zhang, Sreekumar Kodangattil, et al.. (2006). Characterization of Gpr101 expression and G-protein coupling selectivity. Brain Research. 1087(1). 1–14. 45 indexed citations

7.

Yamaoka‐Tojo, Minako, Taiki Tojo, Ha Won Kim, et al.. (2006). IQGAP1 Mediates VE-Cadherin–Based Cell–Cell Contacts and VEGF Signaling at Adherence Junctions Linked to Angiogenesis. Arteriosclerosis Thrombosis and Vascular Biology. 26(9). 1991–1997. 92 indexed citations

8.

Zhang, Lynn, et al.. (2003). Automatic prototype generating via optimized object model. ACM SIGAda Ada Letters. XXIII(2). 22–31. 6 indexed citations

9.

Luqi & Lynn Zhang. (2003). Documentation Driven Agile Development for Systems of Embedded Systems. Defense Technical Information Center (DTIC). 1 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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