Anne Shiu

1.4k total citations
34 papers, 608 citations indexed

About

Anne Shiu is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cognitive Neuroscience. According to data from OpenAlex, Anne Shiu has authored 34 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 16 papers in Computational Theory and Mathematics and 6 papers in Cognitive Neuroscience. Recurrent topics in Anne Shiu's work include Gene Regulatory Network Analysis (19 papers), Topological and Geometric Data Analysis (7 papers) and Computational Drug Discovery Methods (6 papers). Anne Shiu is often cited by papers focused on Gene Regulatory Network Analysis (19 papers), Topological and Geometric Data Analysis (7 papers) and Computational Drug Discovery Methods (6 papers). Anne Shiu collaborates with scholars based in United States, Germany and Argentina. Anne Shiu's co-authors include Alicia Dickenstein, Carsten Conradi, Bernd Sturmfels, Gheorghe Crăciun, Mercedes Pérez Millán, Jason Morton, Manoj Gopalkrishnan, David F. Anderson, Ezra Miller and Lior Pachter and has published in prestigious journals such as PLoS ONE, Biophysical Journal and Journal of Advanced Nursing.

In The Last Decade

Anne Shiu

31 papers receiving 548 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anne Shiu United States	13	395	192	81	54	47	34	608
Elisenda Feliu Denmark	16	515 1.3×	155 0.8×	41 0.5×	49 0.9×	41 0.9×	49	667
Carsten Conradi Germany	13	427 1.1×	119 0.6×	32 0.4×	32 0.6×	35 0.7×	26	540
Alicia Dickenstein Argentina	19	283 0.7×	576 3.0×	86 1.1×	303 5.6×	31 0.7×	59	961
David Ellis United Kingdom	13	122 0.3×	112 0.6×	71 0.9×	88 1.6×	32 0.7×	62	617
Edward B. Curtis United States	14	145 0.4×	159 0.8×	60 0.7×	325 6.0×	12 0.3×	20	763
Raúl E. Curto United States	27	239 0.6×	533 2.8×	72 0.9×	195 3.6×	9 0.2×	126	2.3k
Christophe Soulé France	17	251 0.6×	200 1.0×	72 0.9×	1.0k 19.0×	20 0.4×	45	1.4k
Alexey Stakhov Russia	17	239 0.6×	148 0.8×	675 8.3×	105 1.9×	17 0.4×	34	834
Waldemar Hebisch Poland	13	56 0.1×	164 0.9×	30 0.4×	133 2.5×	11 0.2×	29	778
Benito Hernández‐Bermejo Spain	14	166 0.4×	36 0.2×	240 3.0×	124 2.3×	18 0.4×	41	561

Countries citing papers authored by Anne Shiu

Since Specialization

Citations

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

Fields of papers citing papers by Anne Shiu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anne Shiu

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

20 of 20 papers shown

Meshkat, Nicolette & Anne Shiu. (2025). Structural identifiability of compartmental models: Recent progress and future directions. Current Opinion in Systems Biology. 42. 100559–100559.

Shiu, Anne, et al.. (2025). Deficiency of chemical reaction networks: the effect of operations that preserve multistationarity and periodic orbits. Discrete and Continuous Dynamical Systems - B. 30(5). 1745–1761.

Shiu, Anne, et al.. (2024). On the connectedness of multistationarity regions of small reaction networks. Journal of Symbolic Computation. 125. 102323–102323. 1 indexed citations

Puente, Luis David García, Elizabeth Gross, Heather A. Harrington, et al.. (2024). Absolute concentration robustness: Algebra and geometry. Journal of Symbolic Computation. 128. 102398–102398. 2 indexed citations

Shiu, Anne, et al.. (2024). Absolute concentration robustness and multistationarity in reaction networks: Conditions for coexistence. European Journal of Applied Mathematics. 35(4). 566–600. 1 indexed citations

Shiu, Anne, et al.. (2023). Wheels: A new criterion for non-convexity of neural codes. Advances in Applied Mathematics. 150. 102567–102567. 1 indexed citations

Shiu, Anne, et al.. (2023). Nondegenerate Neural Codes and Obstructions to Closed-Convexity. SIAM Journal on Discrete Mathematics. 37(1). 114–145. 3 indexed citations

Harrington, Heather A., et al.. (2020). Joining and decomposing reaction networks. Oxford University Research Archive (ORA) (University of Oxford). 10 indexed citations

Dickenstein, Alicia, Mercedes Pérez Millán, Anne Shiu, & Xiaoxian Tang. (2019). Multistationarity in Structured Reaction Networks. Bulletin of Mathematical Biology. 81(5). 1527–1581. 21 indexed citations

10.

Tyler, Jonathan, Anne Shiu, & Jay R. Walton. (2019). Revisiting a synthetic intracellular regulatory network that exhibits oscillations. Journal of Mathematical Biology. 78(7). 2341–2368. 4 indexed citations

11.

Conradi, Carsten & Anne Shiu. (2018). Dynamics of Posttranslational Modification Systems: Recent Progress and Future Directions. Biophysical Journal. 114(3). 507–515. 35 indexed citations

12.

Shiu, Anne, et al.. (2015). A Survey of Methods for Deciding Whether a Reaction Network is Multistationary. Springer Link (Chiba Institute of Technology). 36 indexed citations

13.

Conradi, Carsten & Anne Shiu. (2014). A Global Convergence Result for Processive Multisite Phosphorylation Systems. Bulletin of Mathematical Biology. 77(1). 126–155. 25 indexed citations

14.

Millán, Mercedes Pérez, Alicia Dickenstein, Anne Shiu, & Carsten Conradi. (2011). Chemical Reaction Systems with Toric Steady States. Bulletin of Mathematical Biology. 74(5). 1027–1065. 65 indexed citations

15.

Shiu, Anne & Bernd Sturmfels. (2010). Siphons in Chemical Reaction Networks. Bulletin of Mathematical Biology. 72(6). 1448–1463. 19 indexed citations

16.

Anderson, David F. & Anne Shiu. (2009). Persistence of deterministic population processes and the Global Attractor Conjecture. arXiv (Cornell University). 1 indexed citations

17.

Crăciun, Gheorghe, Alicia Dickenstein, Anne Shiu, & Bernd Sturmfels. (2009). Toric dynamical systems. Journal of Symbolic Computation. 44(11). 1551–1565. 105 indexed citations

18.

Ahnert, Sebastian E., Herbert Edelsbrunner, Thomas Fink, et al.. (2008). Comparison of Pattern Detection Methods in Microarray Time Series of the Segmentation Clock. PLoS ONE. 3(8). e2856–e2856. 36 indexed citations

19.

Morton, Jason, Lior Pachter, Anne Shiu, & Bernd Sturmfels. (2007). The Cyclohedron Test for Finding Periodic Genes in Time Course Expression Studies. Statistical Applications in Genetics and Molecular Biology. 6(1). Article 21–Article 21. 7 indexed citations

20.

Holroyd, Eleanor, Sheila Twinn, & Anne Shiu. (2001). Evaluating psychosocial nursing interventions for cardiac clients and their caregivers: a case study of the community rehabilitation network in Hong Kong. Journal of Advanced Nursing. 35(3). 393–401. 5 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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