Juan José Mandoki

598 total citations
28 papers, 481 citations indexed

About

Juan José Mandoki is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Juan José Mandoki has authored 28 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Genetics and 5 papers in Oncology. Recurrent topics in Juan José Mandoki's work include Estrogen and related hormone effects (7 papers), Immunotherapy and Immune Responses (3 papers) and Medicinal Plants and Neuroprotection (2 papers). Juan José Mandoki is often cited by papers focused on Estrogen and related hormone effects (7 papers), Immunotherapy and Immune Responses (3 papers) and Medicinal Plants and Neuroprotection (2 papers). Juan José Mandoki collaborates with scholars based in Mexico, Brazil and United States. Juan José Mandoki's co-authors include José Sullivan López-González, Dolores Aguilar‐Cázares, Heriberto Prado-Garcı́a, Juan Molina-Güarneros, Nicandro Mendoza-Patiño, Marco A. Velasco‐Velázquez, Cristina Lemini, J Alanís, Guillermo Pilar and Aurora de la Peña-Dı́az and has published in prestigious journals such as European Journal of Pharmacology, American Journal of Physiology-Legacy Content and Progress in Biophysics and Molecular Biology.

In The Last Decade

Juan José Mandoki

28 papers receiving 466 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juan José Mandoki Mexico 12 148 97 82 81 66 28 481
Silvi Luell United States 15 265 1.8× 106 1.1× 55 0.7× 116 1.4× 55 0.8× 21 590
Sumiko Tanaka Japan 11 148 1.0× 58 0.6× 13 0.2× 40 0.5× 138 2.1× 21 395
Taisuke Matsuo Japan 15 366 2.5× 139 1.4× 29 0.4× 46 0.6× 91 1.4× 68 707
Ann‐Kathrin Häfner Germany 14 212 1.4× 85 0.9× 32 0.4× 90 1.1× 30 0.5× 27 503
Yasuharu Urano Japan 9 388 2.6× 143 1.5× 27 0.3× 32 0.4× 68 1.0× 9 625
Robert W. Tuman United States 14 300 2.0× 104 1.1× 89 1.1× 25 0.3× 90 1.4× 27 588
Yongli Du China 14 247 1.7× 57 0.6× 47 0.6× 55 0.7× 58 0.9× 29 394
János Seprődi Hungary 16 378 2.6× 80 0.8× 74 0.9× 33 0.4× 219 3.3× 45 705
Barbara J. Palazuk United States 10 421 2.8× 71 0.7× 23 0.3× 116 1.4× 43 0.7× 10 683
E.A. El-Harith Germany 8 136 0.9× 51 0.5× 132 1.6× 29 0.4× 34 0.5× 12 516

Countries citing papers authored by Juan José Mandoki

Since Specialization
Citations

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

Fields of papers citing papers by Juan José Mandoki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juan José Mandoki. 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 Juan José Mandoki. The network helps show where Juan José Mandoki may publish in the future.

Co-authorship network of co-authors of Juan José Mandoki

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

All Works

20 of 20 papers shown
1.
Mandoki, Juan José, et al.. (2013). Pulsatile diastolic increase and systolic decrease in arterial blood pressure: Their mechanism of production and physiological role. Progress in Biophysics and Molecular Biology. 112(3). 55–57. 3 indexed citations
2.
Vega‐López, Armando, et al.. (2011). Differential effects of esculetin and daphnetin on in vitro cell proliferation and in vivo estrogenicity. European Journal of Pharmacology. 668(1-2). 35–41. 38 indexed citations
3.
Mandoki, Juan José, et al.. (2010). Reflections on the Mode of Functioning of Endocrine Systems. Archives of Medical Research. 41(8). 653–657. 1 indexed citations
4.
Velasco‐Velázquez, Marco A., et al.. (2008). Reduced paxillin expression contributes to the antimetastatic effect of 4-hydroxycoumarin on B16-F10 melanoma cells. Cancer Cell International. 8(1). 8–8. 28 indexed citations
5.
Mendoza-Patiño, Nicandro, et al.. (2006). Evaluation of estrogenic activity of esculetin and daphnetin and their effects in cyclin D1 expression in the human breast adenocarcinoma cell line MCF-7.. Cancer Epidemiology and Prevention Biomarkers. 15. 1 indexed citations
6.
López-González, José Sullivan, Federico Ávila‐Moreno, Heriberto Prado-Garcı́a, et al.. (2006). Lung carcinomas decrease the number of monocytes/macrophages (CD14+ cells) that produce TNF-α. Clinical Immunology. 122(3). 323–329. 18 indexed citations
7.
López-González, José Sullivan, et al.. (2004). Apoptosis and cell cycle disturbances induced by coumarin and 7-hydroxycoumarin on human lung carcinoma cell lines. Lung Cancer. 43(3). 275–283. 108 indexed citations
8.
Mandoki, Juan José, et al.. (2003). Hormone multifunctionalities: a theory of endocrine signaling, command and control. Progress in Biophysics and Molecular Biology. 86(3). 353–377. 5 indexed citations
9.
López-González, José Sullivan, Dolores Aguilar‐Cázares, Heriberto Prado-Garcı́a, et al.. (2002). Lack of correlation between growth inhibition by TGF-β and the percentage of cells expressing type II TGF-β receptor in human non-small cell lung carcinoma cell lines. Lung Cancer. 38(2). 149–158. 16 indexed citations
10.
López-González, José Sullivan, et al.. (2001). Decrease of cyclin D1 in the human lung adenocarcinoma cell line A-427 by 7-hydroxycoumarin. Lung Cancer. 34(2). 185–194. 54 indexed citations
11.
López-González, José Sullivan, et al.. (2000). Efecto en el ciclo celular de líneas de adenocarcinoma pulmonar por cumarina y 7-hidroxicumarina*. Revista del Instituto Nacional de Enfermedades Respiratorias. 13(4). 192–197. 1 indexed citations
12.
13.
Velasco‐Velázquez, Marco A., et al.. (1999). Integrinas y moléculas asociadas a integrinas: blancos para el desarrollo de terapias antimetastásicas. Revista de investigaci�n Cl�nica. 1 indexed citations
14.
Massó, Felipe, et al.. (1999). Differential Effect of Estradiol on Antibody Secretion of Murine Hybridomas. Hybridoma. 18(4). 377–383. 8 indexed citations
15.
López-González, José Sullivan, et al.. (1998). Efecto citostático de la cumarina y la 7-hidroxicumarina en tres líneas celulares de adenocarcinoma pulmonar humano. Revista del Instituto Nacional de Enfermedades Respiratorias. 11(4). 261–267. 2 indexed citations
16.
17.
Peña-Dı́az, Aurora de la, Guadalupe Baños, Raúl Izaguirre, Juan José Mandoki, & Juan M. Fernández-G. (1993). Comparative effect of synthetic aminoestrogens with estradiol on platelet aggregation. Steroids. 58(9). 407–409. 14 indexed citations
18.
Lemini, Cristina, et al.. (1991). The anticoagulant effect of beta-asarone in the mouse and the rat.. PubMed. 34. 107–12. 2 indexed citations
19.
20.
Mandoki, Juan José, Nicandro Mendoza-Patiño, Cristina Lemini, et al.. (1985). The anticoagulant effect of prolame, N-(3-hydroxy-1,3,5(10) estratrien-17β-yl)-3-hydroxypropylamine, a novel amino-estrogen. Steroids. 45(2). 159–170. 12 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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