Ana M. Sinito

1.3k total citations
56 papers, 1.0k citations indexed

About

Ana M. Sinito is a scholar working on Molecular Biology, Atmospheric Science and Geophysics. According to data from OpenAlex, Ana M. Sinito has authored 56 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 43 papers in Atmospheric Science and 15 papers in Geophysics. Recurrent topics in Ana M. Sinito's work include Geomagnetism and Paleomagnetism Studies (49 papers), Geology and Paleoclimatology Research (43 papers) and Geological formations and processes (15 papers). Ana M. Sinito is often cited by papers focused on Geomagnetism and Paleomagnetism Studies (49 papers), Geology and Paleoclimatology Research (43 papers) and Geological formations and processes (15 papers). Ana M. Sinito collaborates with scholars based in Argentina, Germany and United Kingdom. Ana M. Sinito's co-authors include Marcos A. E. Chaparro, Claudia Gogorza, Mauro A. E. Chaparro, J. F. Vilas, Héctor Núñez, Juan Manuel Lírio, Daniel A. Valencio, Juan Carlos Bidegain, Ana Navas and K. M. Creer and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Pollution and Geophysical Journal International.

In The Last Decade

Ana M. Sinito

54 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ana M. Sinito Argentina 21 761 645 247 219 209 56 1.0k
Claudia Gogorza Argentina 19 536 0.7× 597 0.9× 166 0.7× 221 1.0× 98 0.5× 55 786
Qingqing Qiao China 14 284 0.4× 299 0.5× 353 1.4× 75 0.3× 298 1.4× 30 979
Mónika Knáb Hungary 8 432 0.6× 274 0.4× 162 0.7× 48 0.2× 147 0.7× 11 603
Shouyun Hu China 17 357 0.5× 379 0.6× 96 0.4× 133 0.6× 189 0.9× 46 707
Zongmin Zhu China 14 255 0.3× 532 0.8× 251 1.0× 190 0.9× 272 1.3× 29 1.1k
Elina Aidona Greece 15 250 0.3× 209 0.3× 203 0.8× 30 0.1× 254 1.2× 54 700
Kais J. Mohamed Spain 12 206 0.3× 390 0.6× 78 0.3× 175 0.8× 48 0.2× 17 531
Xiaoyong Long China 9 218 0.3× 435 0.7× 108 0.4× 178 0.8× 31 0.1× 16 601
José Mangas Spain 13 21 0.0× 271 0.4× 268 1.1× 193 0.9× 25 0.1× 65 640

Countries citing papers authored by Ana M. Sinito

Since Specialization
Citations

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

Fields of papers citing papers by Ana M. Sinito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ana M. Sinito. 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 Ana M. Sinito. The network helps show where Ana M. Sinito may publish in the future.

Co-authorship network of co-authors of Ana M. Sinito

This figure shows the co-authorship network connecting the top 25 collaborators of Ana M. Sinito. A scholar is included among the top collaborators of Ana M. Sinito 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 Ana M. Sinito. Ana M. Sinito 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.
Gogorza, Claudia, Ana M. Sinito, Milagrosa Aldana, et al.. (2020). Testing lake-level reconstructions based on rock magnetic proxies for the sediment record of Laguna Cháltel (Patagonia, Argentina). Quaternary Research. 95. 113–128. 2 indexed citations
2.
Chaparro, Marcos A. E., et al.. (2019). Magnetic biomonitoring of airborne particles using lichen transplants over controlled exposure periods. SN Applied Sciences. 2(1). 9 indexed citations
3.
Chaparro, Marcos A. E., et al.. (2018). Atmospheric pollution assessed by in situ measurement of magnetic susceptibility on lichens. Ecological Indicators. 95. 831–840. 24 indexed citations
4.
Chaparro, Marcos A. E., Mauro A. E. Chaparro, Karina L. Lecomte, et al.. (2015). EL USO DE PARÁMETROS MAGNÉTICOS EN ESTUDIOS PALEOLIMNOLÓGICOS EN ANTÁRTIDA. SHILAP Revista de lepidopterología. 21(2). 0–0. 5 indexed citations
5.
Chaparro, Mauro A. E., et al.. (2015). An interval fuzzy model for magnetic biomonitoring using the specie Tillandsia recurvata L. Ecological Indicators. 54. 238–245. 16 indexed citations
6.
Sinito, Ana M., et al.. (2013). OBSERVACIONES PALEOMAGNÉTICAS EN EL SITIO ARQUEOLÓGICO PUESTO SEGUNDO (MISIONES, ARGENTINA). SHILAP Revista de lepidopterología. 1 indexed citations
7.
8.
Chaparro, Marcos A. E., G. Suresh, Mauro A. E. Chaparro, V. Ramasamy, & Ana M. Sinito. (2012). Magnetic studies and elemental analysis of river sediments: a case study from the Ponnaiyar River (Southeastern India). Environmental Earth Sciences. 70(1). 201–213. 19 indexed citations
9.
Bidegain, Juan Carlos, et al.. (2011). Magnetic parameter analysis of a climosequence of soils in the Southern Pampean Region, Argentina. Geofísica Internacional. 50(1). 11 indexed citations
10.
Chaparro, Mauro A. E., Marcos A. E. Chaparro, & Ana M. Sinito. (2011). An interval fuzzy model for magnetic monitoring: estimation of a pollution index. Environmental Earth Sciences. 66(5). 1477–1485. 14 indexed citations
11.
Sinito, Ana M., et al.. (2011). PRELIMINARY PALAEOMAGNETIC AND ROCK-MAGNETIC STUDIES ON SEDIMENTS FROM LAKE ESMERALDA (VEGA ISLAND), ANTARCTICA. 1 indexed citations
12.
Chaparro, Marcos A. E., et al.. (2010). Magnetic studies and scanning electron microscopy — X-ray energy dispersive spectroscopy analyses of road sediments, soils and vehicle-derived emissions. Studia Geophysica et Geodaetica. 54(4). 633–650. 45 indexed citations
13.
Gogorza, Claudia, et al.. (2008). Application of the pseudo-Thellier technique to a paleomagnetic record from lake El Trébol (Patagonia, Argentina). Geofísica Internacional. 47(4). 319–327. 5 indexed citations
14.
Vásquez, Carlos A., María Julia Orgeira, & Ana M. Sinito. (2008). Origin of superparamagnetic particles in Argiudolls developed on loess, Buenos Aires (Argentina). Environmental Geology. 56(8). 1653–1661. 7 indexed citations
15.
Gogorza, Claudia, et al.. (2006). Relative paleointensity of the geomagnetic field over the last 21,000 years BP from sediment cores, Lake El Trébol (Patagonia, Argentina). Earth Planets and Space. 58(10). 1323–1332. 20 indexed citations
16.
Gogorza, Claudia, Ana M. Sinito, Juan Manuel Lírio, et al.. (2002). Paleosecular variations 0–19,000 years recorded by sediments from Escondido Lake (Argentina). Physics of The Earth and Planetary Interiors. 133(1-4). 35–55. 36 indexed citations
17.
Gogorza, Claudia, Ana M. Sinito, J. F. Vilas, K. M. Creer, & Héctor Núñez. (2000). Geomagnetic secular variations over the last 6500 years as recorded by sediments from the lakes of south Argentina. Geophysical Journal International. 143(3). 787–798. 23 indexed citations
18.
Sinito, Ana M.. (1990). Models of geomagnetic secular variations on recent times for South America. Physics of The Earth and Planetary Interiors. 64(2-4). 133–142.
19.
Creer, K. M., Daniel A. Valencio, Ana M. Sinito, P. Tucholka, & J. F. Vilas. (1983). Geomagnetic secular variations 0-14 000 yr BP as recorded by lake sediments from Argentina. Geophysical Journal International. 74(1). 199–221. 48 indexed citations
20.
Sinito, Ana M., et al.. (1982). Estudio paleomagnético, sedimentológico y palinológico de ambientes lacustres. Revista de la Asociación Geológica Argentina. 37(2). 4 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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