Emma Saavedra

106 papers receiving 3.9k citations

Emma Saavedra's Hit Papers

Energy metabolism in tumor cells 2007 · 859 citations
8590+6+12Years since publication250500750

Peers

Emma Saavedra
Comparison fields: 5 of 138
  • Cancer Research 1.3k
  • Parasitology 327
  • Molecular Biology 2.5k
  • Biochemistry 152
  • Infectious Diseases 385
Replace Rosalind E. Jenkins with:
Rosalind E. Jenkins United Kingdom
Ezra Burstein United States
James I. MacRae United Kingdom
Somchai Pinlaor Thailand
Young Mok Yang South Korea
Michael J. Gray United States
Baharia Mograbi France
Renu Tuteja India
Francisco Navarro Spain
Bo Xu China
Emma Saavedra relative to Rosalind E. Jenkins United Kingdom Rosalind E. Jenkins's profile →
Citations per field
00.5×3.1×
Rosalind E. Jenkins · 1×
Citations per year

Countries citing papers authored by Emma Saavedra

Since Specialization
Citations

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

Fields of papers citing papers by Emma Saavedra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Emma Saavedra, 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 Emma Saavedra Line = papers co-authored together Emma Saavedra links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Energy metabolism in tumor cells
Hit paper breakdown →
2007859
2 2010263
3 2003174
4 2014159
5 2008151
6 2010116
7 2010112
8 2009108
9 200591
10 199562
11 201061
12 201556
13 201455
14 200454
15 201954
16 201752
17 201249
18 199949
19 199846
20 201045

About Emma Saavedra

Emma Saavedra is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Cancer Research and Public Health, Environmental and Occupational Health, having authored 109 papers that have together received 4.0k indexed citations. Recurring topics across this work include Amoebic Infections and Treatments (26 papers), Cancer, Hypoxia, and Metabolism (21 papers), Trypanosoma species research and implications (18 papers), Research on Leishmaniasis Studies (17 papers), Parasitic Infections and Diagnostics (13 papers), Mitochondrial Function and Pathology (13 papers), Heme Oxygenase-1 and Carbon Monoxide (11 papers) and Synthesis and Biological Evaluation (10 papers). The work is most often cited by research in Cancer Research (1.3k citations), Parasitology (327 citations), Molecular Biology (2.5k citations), Biochemistry (152 citations) and Infectious Diseases (385 citations). Emma Saavedra has collaborated with scholars based in Mexico, Brazil and Spain. Frequent co-authors include Rafael Moreno‐Sánchez, Sara Rodríguez‐Enríquez, Álvaro Marín‐Hernández, Juan Carlos Gallardo‐Pérez, Rusely Encalada, Stephen J. Ralph, Viridiana Olín‐Sandoval, Erika Pineda, Ruy Pérez‐Montfort and Jiřı́ Neužil. Their work appears in journals such as FEBS Journal, Biochimica et Biophysica Acta (BBA) - General Subjects, Experimental Parasitology, Bioscience Reports and Frontiers in Oncology.

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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