Mariana Hecht

919 total citations
36 papers, 643 citations indexed

About

Mariana Hecht is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health and Mechanical Engineering. According to data from OpenAlex, Mariana Hecht has authored 36 papers receiving a total of 643 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Epidemiology, 15 papers in Public Health, Environmental and Occupational Health and 11 papers in Mechanical Engineering. Recurrent topics in Mariana Hecht's work include Trypanosoma species research and implications (22 papers), Research on Leishmaniasis Studies (14 papers) and Railway Engineering and Dynamics (8 papers). Mariana Hecht is often cited by papers focused on Trypanosoma species research and implications (22 papers), Research on Leishmaniasis Studies (14 papers) and Railway Engineering and Dynamics (8 papers). Mariana Hecht collaborates with scholars based in Brazil, Germany and United States. Mariana Hecht's co-authors include Nadjar Nitz, Antônio R. L. Teixeira, Alessandro O. Sousa, Maria C. Guimaro, Habibollah Molatefi, Sebastian Stichel, Simon Iwnicki, Ana de Cássia Rosa, Eduardo Leonardecz and Rodrigo Gurgel‐Gonçalves and has published in prestigious journals such as PLoS ONE, Clinical Microbiology Reviews and International Journal of Environmental Research and Public Health.

In The Last Decade

Mariana Hecht

35 papers receiving 622 citations

Peers

Mariana Hecht

EPIDE

PHEOH

PARAS

Lei Shuai China

Yuzhuo Liu China

Michal Šíma Czechia

Nahla Mohamed Sweden

Pingping Yao China

Silvia E. Barbosa Brazil

Xiaohan Yang China

M. Scaglia Italy

Andreas Manios Greece

K. Fujino Japan

Lei Shuai China

Mariana Hecht

169 ×0.5

EPIDE

42 ×0.2

PHEOH

55 ×0.4

11 ×0.1

PARAS

8 ×0.1

Citations per year, relative to Mariana Hecht Mariana Hecht (= 1×) peers Lei Shuai

Countries citing papers authored by Mariana Hecht

Since Specialization

Citations

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

Fields of papers citing papers by Mariana Hecht

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mariana Hecht

This figure shows the co-authorship network connecting the top 25 collaborators of Mariana Hecht. A scholar is included among the top collaborators of Mariana Hecht 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 Mariana Hecht. Mariana Hecht 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

Araújo, Emerson Luiz Lima, Wildo Navegantes de Araújo, Emmanuel Roux, et al.. (2025). Seroprevalence of dengue, Zika, and chikungunya in São Sebastião, Brazil (2020–2021): a population-based survey. BMC Infectious Diseases. 25(1). 129–129. 1 indexed citations

Gonzaga, Carolina, Doralina do Amaral Rabello Ramos, Bruno Stéfano Lima Dallago, et al.. (2024). Network Analysis of Pathogenesis Markers in Murine Chagas Disease Under Antimicrobial Treatment. Microorganisms. 12(11). 2332–2332. 1 indexed citations

Pogue, Robert, et al.. (2023). Extracellular vesicles in the context of chagas disease - A systematic review. Acta Tropica. 242. 106899–106899. 5 indexed citations

Yang, Yifan, et al.. (2023). Real-time predication of railway track curvature using gyroscope and GPS sensors. 1–6. 2 indexed citations

Dallago, Bruno Stéfano Lima, Juliana Lott Carvalho, Nadjar Nitz, et al.. (2023). Uncovering the effects of Giardia duodenalis on the balance of DNA viruses and bacteria in children's gut microbiota. Acta Tropica. 247. 107018–107018. 2 indexed citations

Nitz, Nadjar, Ana de Cássia Rosa, Riccardo Pratesi, et al.. (2021). Host DNA repair response to oxidative damage is modulated by Trypanosoma cruzi in a strain-dependent manner. Acta Tropica. 224. 106127–106127. 6 indexed citations

Carvalho, Juliana Lott, et al.. (2020). Mechanisms of DNA repair in Trypanosoma cruzi: What do we know so far?. DNA repair. 91-92. 102873–102873. 9 indexed citations

Hecht, Mariana, et al.. (2019). Trypanosomatid infections in captive wild mammals and potential vectors at the Brasilia Zoo, Federal District, Brazil. Veterinary Medicine and Science. 6(2). 248–256. 14 indexed citations

Hagström, Luciana, et al.. (2018). Molecular bloodmeal analyses reveal that Trypanosoma cruzi ‐infected, native triatomine bugs often feed on humans in houses in central Brazil. Medical and Veterinary Entomology. 32(4). 504–508. 9 indexed citations

10.

Nitz, Nadjar, Luciana Hagström, Alessandro O. Sousa, et al.. (2015). Sexual transmission of Trypanosoma cruzi in murine model. Experimental Parasitology. 162. 1–6. 13 indexed citations

11.

Romero, Gustavo Adolfo Sierra, et al.. (2015). Expanding the knowledge about Leishmania species in wild mammals and dogs in the Brazilian savannah. Parasites & Vectors. 8(1). 171–171. 24 indexed citations

12.

Iwnicki, Simon, et al.. (2015). Dynamics of railway freight vehicles. Vehicle System Dynamics. 53(7). 995–1033. 73 indexed citations

13.

Teixeira, Antônio R. L., et al.. (2012). Parasite Induced Genetically Driven Autoimmune Chagas Heart Disease in the Chicken Model. Journal of Visualized Experiments. 3716–3716. 7 indexed citations

14.

Araújo, Carla Nunes de, et al.. (2012). Interactome: Smart hematophagous triatomine salivary gland molecules counteract human hemostasis during meal acquisition. Journal of Proteomics. 75(13). 3829–3841. 11 indexed citations

15.

Nakayasu, Ernesto, Mariana Hecht, Teresa C. F. Assumpção, et al.. (2011). Redundancy of proteins in the salivary glands of Panstrongylus megistus secures prolonged procurement for blood meals. Journal of Proteomics. 74(9). 1693–1700. 19 indexed citations

16.

Nakayasu, Ernesto, Mariana Hecht, Juliana Alves Parente, et al.. (2011). Diversity of anti-haemostatic proteins in the salivary glands of Rhodnius species transmitters of Chagas disease in the greater Amazon. Journal of Proteomics. 74(9). 1664–1672. 8 indexed citations

17.

Teixeira, Antônio R. L., Cléver Gomes Cardoso, Nadjar Nitz, et al.. (2011). Trypanosoma cruzi in the Chicken Model: Chagas-Like Heart Disease in the Absence of Parasitism. PLoS neglected tropical diseases. 5(3). e1000–e1000. 22 indexed citations

18.

Hecht, Mariana, Nadjar Nitz, Alessandro O. Sousa, et al.. (2010). Inheritance of DNA Transferred from American Trypanosomes to Human Hosts. PLoS ONE. 5(2). e9181–e9181. 58 indexed citations

19.

Molatefi, Habibollah, et al.. (2006). Critical speed and limit cycles in the empty Y25-freight wagon. Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit. 220(4). 347–359. 30 indexed citations

20.

Hecht, Mariana. (2001). European freight vehicle running gear: Today's position and future demands. Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit. 215(2). 1–11. 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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