A.H. Aguda

945 total citations
18 papers, 665 citations indexed

About

A.H. Aguda is a scholar working on Molecular Biology, Cell Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, A.H. Aguda has authored 18 papers receiving a total of 665 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Cell Biology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in A.H. Aguda's work include Cellular Mechanics and Interactions (5 papers), Bone Metabolism and Diseases (3 papers) and Lung Cancer Research Studies (3 papers). A.H. Aguda is often cited by papers focused on Cellular Mechanics and Interactions (5 papers), Bone Metabolism and Diseases (3 papers) and Lung Cancer Research Studies (3 papers). A.H. Aguda collaborates with scholars based in Canada, United States and Singapore. A.H. Aguda's co-authors include Robert Robinson, Nham T. Nguyen, Gary D. Brayer, Dieter Brömme, Mårten Larsson, Leslie D. Burtnick, Preety Panwar, Xin Du, Chomphunuch Songsiriritthigul and Wipa Suginta and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

A.H. Aguda

18 papers receiving 657 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A.H. Aguda Canada	11	374	237	86	77	74	18	665
Lynn Huyck Belgium	6	292 0.8×	161 0.7×	28 0.3×	45 0.6×	76 1.0×	9	716
Sarah L. Irons United Kingdom	11	539 1.4×	73 0.3×	115 1.3×	58 0.8×	32 0.4×	19	710
Michał Majkowski Poland	15	296 0.8×	106 0.4×	45 0.5×	16 0.2×	37 0.5×	29	493
Benedict C. S. Cross United Kingdom	13	636 1.7×	591 2.5×	27 0.3×	36 0.5×	47 0.6×	18	1.0k
Christian Huet France	10	425 1.1×	243 1.0×	16 0.2×	27 0.4×	55 0.7×	12	700
Ren-Yuan Bai United States	14	385 1.0×	29 0.1×	45 0.5×	64 0.8×	68 0.9×	22	851
Naveid Ali Australia	10	665 1.8×	127 0.5×	84 1.0×	16 0.2×	163 2.2×	13	1.0k
Tammy‐Lynn Tremblay Canada	15	610 1.6×	69 0.3×	104 1.2×	41 0.5×	80 1.1×	28	1.0k
Jens C. Schmidt United States	16	1.1k 3.0×	306 1.3×	46 0.5×	58 0.8×	83 1.1×	31	1.4k
Estelle Laurent Canada	17	585 1.6×	285 1.2×	69 0.8×	9 0.1×	71 1.0×	32	854

Countries citing papers authored by A.H. Aguda

Since Specialization

Citations

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

Fields of papers citing papers by A.H. Aguda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A.H. Aguda

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

All Works

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18 of 18 papers shown

1.

Ganguli, Dwaipayan, Maxim Kobelev, Olena Sivak, et al.. (2022). ASCL1 activates neuronal stem cell-like lineage programming through remodeling of the chromatin landscape in prostate cancer. Nature Communications. 13(1). 2282–2282. 68 indexed citations

2.

Thaper, Daksh, Sahil Kumar, Soojin Kim, et al.. (2019). First-in-field small molecule inhibitors targeting BRN2 as a therapeutic strategy for small cell prostate cancer.. Journal of Clinical Oncology. 37(7_suppl). 260–260. 3 indexed citations

3.

Thaper, Daksh, Sahil Kumar, Soojin Kim, et al.. (2019). Abstract 1295: First-in-field small molecule inhibitors targeting BRN2 as a therapeutic strategy for small cell prostate cancer. 1295–1295. 1 indexed citations

4.

Thaper, Daksh, Sahil Kumar, Soojin Kim, et al.. (2019). Abstract 1295: First-in-field small molecule inhibitors targeting BRN2 as a therapeutic strategy for small cell prostate cancer. Cancer Research. 79(13_Supplement). 1295–1295. 2 indexed citations

5.

Panwar, Preety, et al.. (2017). A composite docking approach for the identification and characterization of ectosteric inhibitors of cathepsin K. PLoS ONE. 12(10). e0186869–e0186869. 9 indexed citations

6.

Aguda, A.H., et al.. (2017). Identification of mouse cathepsin K structural elements that regulate the potency of odanacatib. Biochemical Journal. 474(5). 851–864. 25 indexed citations

7.

Tysoe, Christina, Leslie K. Williams, Robert A. Keyzers, et al.. (2016). Potent Human α-Amylase Inhibition by the β-Defensin-like Protein Helianthamide. ACS Central Science. 2(3). 154–161. 37 indexed citations

8.

Aguda, A.H., Labros G. Meimetis, Nham T. Nguyen, et al.. (2016). Affinity Crystallography: A New Approach to Extracting High-Affinity Enzyme Inhibitors from Natural Extracts. Journal of Natural Products. 79(8). 1962–1970. 17 indexed citations

9.

Xue, Bo, Maria Hernandez-Valladares, Maybelle Kho Go, et al.. (2014). Identification of Polyketide Inhibitors Targeting 3-Dehydroquinate Dehydratase in the Shikimate Pathway of Enterococcus faecalis. PLoS ONE. 9(7). e103598–e103598. 7 indexed citations

10.

Aguda, A.H., Preety Panwar, Xin Du, et al.. (2014). Structural basis of collagen fiber degradation by cathepsin K. Proceedings of the National Academy of Sciences. 111(49). 17474–17479. 119 indexed citations

11.

Caner, S., et al.. (2013). The structure of the Mycobacterium smegmatis trehalose synthase reveals an unusual active site configuration and acarbose-binding mode. Glycobiology. 23(9). 1075–1083. 40 indexed citations

12.

Hernandez-Valladares, Maria, Tae-Kyung Kim, B. Kannan, et al.. (2010). Structural characterization of a capping protein interaction motif defines a family of actin filament regulators. Nature Structural & Molecular Biology. 17(4). 497–503. 93 indexed citations

13.

Songsiriritthigul, Chomphunuch, Supansa Pantoom, A.H. Aguda, Robert Robinson, & Wipa Suginta. (2008). Crystal structures of Vibrio harveyi chitinase A complexed with chitooligosaccharides: Implications for the catalytic mechanism. Journal of Structural Biology. 162(3). 491–499. 68 indexed citations

14.

Xue, Bo, A.H. Aguda, & Robert Robinson. (2007). Models of the Actin‐Bound Forms of the β‐Thymosins. Annals of the New York Academy of Sciences. 1112(1). 56–66. 10 indexed citations

15.

Aguda, A.H., Amos M. Sakwe, Lars Rask, & Robert Robinson. (2007). Expression, crystallization and preliminary crystallographic data analysis of filamin A repeats 14–16. Acta Crystallographica Section F Structural Biology and Crystallization Communications. 63(4). 291–293. 1 indexed citations

16.

Aguda, A.H., et al.. (2006). The Structural Basis of Actin Interaction with Multiple WH2/β-Thymosin Motif-Containing Proteins. Structure. 14(3). 469–476. 38 indexed citations

17.

Aguda, A.H., Leslie D. Burtnick, & Robert Robinson. (2005). The state of the filament. EMBO Reports. 6(3). 220–226. 28 indexed citations

18.

Aguda, A.H., Mårten Larsson, Christophe Guérin, et al.. (2004). Structural basis of actin sequestration by thymosin‐β4: implications for WH2 proteins. The EMBO Journal. 23(18). 3599–3608. 99 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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