María Canive

404 citations
17 papers · 205 · h-index 9

Impact in

Papers in

    • Mycobacterium research and diagnosis 17
    • Cancer-related molecular mechanisms research 12
    • MicroRNA in disease regulation 1

María Canive

16 papers receiving 205 citations

Peers

María Canive
Comparison fields: 5 of 42
  • Epidemiology 152
  • Cancer Research 67
  • Microbiology 28
  • Small Animals 20
  • Pharmacology 15
Replace Sophie Lemaire with:
Sophie Lemaire Belgium
Yvette M. Schlotter Netherlands
Hrant Hovhannisyan Spain
Rayan Farhat France
Herman Oostermeijer Netherlands
Yothin Kumsang Thailand
Namal P. M. Liyanage United States
Bessy Gutiérrez Chile
Grasielle Pereira Jannuzzi Brazil
María Cruz Miraglia Argentina
María Canive relative to Sophie Lemaire Belgium Sophie Lemaire's profile →
Citations per field
00.5×4.8×
Sophie Lemaire · 1×
Citations per year

Countries citing papers authored by María Canive

Since Specialization
Citations

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

Fields of papers citing papers by María Canive

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside María Canive, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with María Canive Line = papers co-authored together María Canive links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 201943
2 202026
3 202221
4 202121
5 202116
6 202214
7 202111
8 20219
9 20239
10 20238
11 20207
12 20226
13 20224
14 20234
15 20243
16 20223
17 20240

About María Canive

María Canive is a scholar working on Epidemiology, Cancer Research, Molecular Biology, Small Animals and Surgery, having authored 17 papers that have together received 205 indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (17 papers), Cancer-related molecular mechanisms research (12 papers), Ginseng Biological Effects and Applications (5 papers), Infectious Diseases and Mycology (3 papers), Helicobacter pylori-related gastroenterology studies (2 papers), Microbial infections and disease research (2 papers), Genomics and Phylogenetic Studies (1 paper) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Epidemiology (152 citations), Cancer Research (67 citations), Microbiology (28 citations), Small Animals (20 citations) and Pharmacology (15 citations). María Canive has collaborated with scholars based in Spain. Frequent co-authors include Marta Alonso‐Hearn, Ramón A. Juste, Rosa Casais, Joseba M. Garrido, Ana Balseiro, Patricia Vázquez, Almudena Fernández, Óscar González-Recio, Ricardo Ramos and Begoña M. Jugo. Their work appears in journals such as Scientific Reports, Frontiers in Veterinary Science, Animals, Frontiers in Immunology and PLoS ONE.

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.

Explore authors with similar magnitude of impact