Mario Masís-Mora

1.8k citations
46 papers · 1.4k indexed · h-index 23

Mario Masís-Mora

46 papers receiving 1.4k citations

Peers

Mario Masís-Mora
Comparison fields: 5 of 82
  • Pollution 1.0k
  • Health, Toxicology and Mutagenesis 404
  • Plant Science 327
  • Analytical Chemistry 151
  • Insect Science 146
Replace Kalpana Bhatt with:
Kalpana Bhatt China
Valdemar Luiz Tornisielo Brazil
Andrés Pérez‐Parada Uruguay
Carlos E. Rodríguez-Rodríguez Costa Rica
Robert Kreuzig Germany
Emmanouil‐Nikolaos Papadakis Greece
Jang‐Eok Kim South Korea
Shimei Pang China
Saurabh Gangola India
Eliseo Herrero‐Hernández Spain
Mario Masís-Mora relative to Kalpana Bhatt China Kalpana Bhatt's profile →
Citations per field
00.5×20×40×60×87×
Kalpana Bhatt · 1×
Citations per year

Countries citing papers authored by Mario Masís-Mora

Since Specialization
Citations

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

Fields of papers citing papers by Mario Masís-Mora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mario Masís-Mora. 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 Mario Masís-Mora. The network helps show where Mario Masís-Mora may publish in the future.

Co-authorship network of co-authors of Mario Masís-Mora

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Masís-Mora. A scholar is included among the top collaborators of Mario Masís-Mora 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 Mario Masís-Mora. Mario Masís-Mora 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
#WorkIndexed citations
1 2
2 26
3 6
4 1
5 32
6 16
7 9
8 57
9 98
10 3
11 12
12 17
13 187
14 29
15 48
16 18
17 14
18 26
19 30
20 81

About Mario Masís-Mora

Mario Masís-Mora is a scholar working on Pollution, Health, Toxicology and Mutagenesis and Analytical Chemistry, having authored 46 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pesticide and Herbicide Environmental Studies (34 papers), Pharmaceutical and Antibiotic Environmental Impacts (29 papers) and Enzyme-mediated dye degradation (11 papers). The work is most often cited by research in Pollution (1.0k citations), Health, Toxicology and Mutagenesis (404 citations) and Analytical Chemistry (151 citations). Mario Masís-Mora has collaborated with scholars based in Costa Rica, Spain and Chile. Frequent co-authors include Carlos E. Rodríguez-Rodríguez, Juan Salvador Chin-Pampillo, Elizabeth Carazo-Rojas, Marta Pérez-Villanueva, Didier Ramírez-Morales, Víctor Castro-Gutiérrez, Juan Carlos Cambronero-Heinrichs, Zisis Vryzas, Wilson Beita-Sandí and J. Herrera. Their work appears in journals such as The Science of The Total Environment, Journal of Hazardous Materials and Chemical Engineering Journal.

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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