Armando Aranda‐Anzaldo

649 total citations
48 papers, 523 citations indexed

About

Armando Aranda‐Anzaldo is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Armando Aranda‐Anzaldo has authored 48 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 9 papers in Oncology and 8 papers in Epidemiology. Recurrent topics in Armando Aranda‐Anzaldo's work include Genomics and Chromatin Dynamics (15 papers), DNA and Nucleic Acid Chemistry (10 papers) and RNA Research and Splicing (10 papers). Armando Aranda‐Anzaldo is often cited by papers focused on Genomics and Chromatin Dynamics (15 papers), DNA and Nucleic Acid Chemistry (10 papers) and RNA Research and Splicing (10 papers). Armando Aranda‐Anzaldo collaborates with scholars based in Mexico, France and Poland. Armando Aranda‐Anzaldo's co-authors include Myrna A.R. Dent, Apolinar Maya‐Mendoza, Juan Carlos Rivera‐Mulia, D. Viza, Claudia Trevilla‐García, Patricio Gariglio, Rolando Hernández‐Muñoz, R. G. Busnel, Patricio Gariglio and Enrique García‐Villa and has published in prestigious journals such as PLoS ONE, Analytical Biochemistry and FEBS Letters.

In The Last Decade

Armando Aranda‐Anzaldo

48 papers receiving 517 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Armando Aranda‐Anzaldo Mexico	16	368	83	79	50	43	48	523
Gabriela Imreh Sweden	12	666 1.8×	133 1.6×	75 0.9×	74 1.5×	37 0.9×	19	845
Daniel Stauffer United States	10	370 1.0×	149 1.8×	89 1.1×	133 2.7×	44 1.0×	10	539
Yanhua Rao United States	5	294 0.8×	67 0.8×	48 0.6×	55 1.1×	65 1.5×	6	360
Crafford A. Harris United States	10	460 1.3×	60 0.7×	50 0.6×	23 0.5×	126 2.9×	12	761
U Smola Germany	7	447 1.2×	72 0.9×	118 1.5×	75 1.5×	74 1.7×	9	640
Sharon Tracy United States	9	347 0.9×	48 0.6×	75 0.9×	29 0.6×	25 0.6×	10	490
M. Kinoshita Japan	4	453 1.2×	53 0.6×	80 1.0×	25 0.5×	58 1.3×	11	558
Rama Thimmapaya United States	9	344 0.9×	38 0.5×	90 1.1×	48 1.0×	18 0.4×	12	432
Svetlana Gershburg United States	9	373 1.0×	124 1.5×	81 1.0×	36 0.7×	15 0.3×	12	590
John R. Bockoven United States	8	312 0.8×	44 0.5×	35 0.4×	62 1.2×	53 1.2×	11	577

Countries citing papers authored by Armando Aranda‐Anzaldo

Since Specialization

Citations

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

Fields of papers citing papers by Armando Aranda‐Anzaldo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Armando Aranda‐Anzaldo. 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 Armando Aranda‐Anzaldo. The network helps show where Armando Aranda‐Anzaldo may publish in the future.

Co-authorship network of co-authors of Armando Aranda‐Anzaldo

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

All Works

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20 of 20 papers shown

Aranda‐Anzaldo, Armando, et al.. (2024). Protein folding, cellular stress and cancer. Progress in Biophysics and Molecular Biology. 191. 40–57. 1 indexed citations

Aranda‐Anzaldo, Armando & Myrna A.R. Dent. (2021). Is cancer a disease set up by cellular stress responses?. Cell Stress and Chaperones. 26(4). 597–609. 8 indexed citations

Pardo, Juan Pablo, et al.. (2016). The nuclear higher-order structure defined by the set of topological relationships between DNA and the nuclear matrix is species-specific in hepatocytes. Gene. 597. 40–48. 4 indexed citations

Aranda‐Anzaldo, Armando. (2016). The interphase mammalian chromosome as a structural system based on tensegrity. Journal of Theoretical Biology. 393. 51–59. 8 indexed citations

Aranda‐Anzaldo, Armando. (2012). The post-mitotic state in neurons correlates with a stable nuclear higher-order structure. Communicative & Integrative Biology. 5(2). 134–139. 22 indexed citations

Aranda‐Anzaldo, Armando. (2011). Assuming in biology the reality of real virtuality (a come back for entelechy. PhilPapers (PhilPapers Foundation). 19(36). 333–342. 2 indexed citations

Dent, Myrna A.R., et al.. (2010). NeuN/Fox‐3 is an intrinsic component of the neuronal nuclear matrix. FEBS Letters. 584(13). 2767–2771. 59 indexed citations

Dent, Myrna A.R., et al.. (2010). Aged and post-mitotic cells share a very stable higher-order structure in the cell nucleus in vivo. Biogerontology. 11(6). 703–716. 9 indexed citations

Rivera‐Mulia, Juan Carlos & Armando Aranda‐Anzaldo. (2010). Determination of the in vivo structural DNA loop organization in the genomic region of the rat albumin locus by means of a topological approach. DNA Research. 17(1). 23–35. 14 indexed citations

10.

Aranda‐Anzaldo, Armando & Myrna A.R. Dent. (2007). Reassessing the role of p53 in cancer and ageing from an evolutionary perspective. Mechanisms of Ageing and Development. 128(4). 293–302. 21 indexed citations

11.

Maya‐Mendoza, Apolinar, et al.. (2005). Natural ageing in the rat liver correlates with progressive stabilisation of DNA–nuclear matrix interactions and withdrawal of genes from the nuclear substructure. Mechanisms of Ageing and Development. 126(6-7). 767–782. 20 indexed citations

12.

Aranda‐Anzaldo, Armando. (2002). Understanding cancer as a formless phenomenon. Medical Hypotheses. 59(1). 68–75. 3 indexed citations

13.

Aranda‐Anzaldo, Armando. (2001). Cancer Development and Progression: A Non-Adaptive Process Driven by Genetic Drift. Acta Biotheoretica. 49(2). 89–108. 15 indexed citations

14.

Aranda‐Anzaldo, Armando. (1998). The normal association between newly replicated DNA and the nuclear matrix is abolished in cells infected by herpes simplex virus type 1. Research in Virology. 149(4). 195–208. 15 indexed citations

15.

Aranda‐Anzaldo, Armando & Myrna A.R. Dent. (1997). Loss of dna loop supercoiling and organization in cells infected by herpes simplex virus type 1. Research in Virology. 148(6). 397–408. 19 indexed citations

16.

Aranda‐Anzaldo, Armando & D. Viza. (1992). Human immunodeficiency virus type 1 productive infection in staurosporine‐blocked quiescent cells. FEBS Letters. 308(2). 170–174. 2 indexed citations

17.

Aranda‐Anzaldo, Armando. (1992). Possible cell-free prion replication. Medical Hypotheses. 38(3). 249–251. 8 indexed citations

18.

Aranda‐Anzaldo, Armando. (1992). Early induction of DNA single-stranded breaks in cells infected by herpes simplex virus type 1. Archives of Virology. 122(3-4). 317–330. 18 indexed citations

19.

Aranda‐Anzaldo, Armando, D. Viza, & R. G. Busnel. (1992). Chemical inactivation of human immunodeficiency virus in vitro. Journal of Virological Methods. 37(1). 71–81. 21 indexed citations

20.

Viza, D., et al.. (1991). Dimethyl Sulfoxide Inhibits Human Immunodeficiency Virus Production in vitro. Intervirology. 32(1). 59–64. 7 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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