Daniel Tello

1.3k citations
17 papers · 663 · h-index 11

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Mitochondrial Function and Pathology
    • ATP Synthase and ATPases Research
    • Redox biology and oxidative stress
    • Epigenetics and DNA Methylation

Papers in

    • Protein purification and stability 3
    • Genomics and Phylogenetic Studies 2
    • Redox biology and oxidative stress 2
    • Mitochondrial Function and Pathology 2
    • Hepatitis C virus research 5

Daniel Tello

17 papers receiving 656 citations

Peers

Daniel Tello
Comparison fields: 5 of 85
  • Cancer Research 225
  • Molecular Biology 388
  • Biochemistry 40
  • Hepatology 36
  • Physiology 110
Replace Raffaele Teperino with:
Raffaele Teperino Germany
Irina M. Bochkis United States
Lisa Heiserich Germany
Chi-Wu Chiang Taiwan
Shanmin Zhao China
Hannah Cohen Israel
Brian J. McMillan United States
Jianfei Guo China
Tymon Rubel Poland
Joel D. Nelson United States
Daniel Tello relative to Raffaele Teperino Germany Raffaele Teperino's profile →
Citations per field
00.5×3.0×
Raffaele Teperino · 1×
Citations per year

Countries citing papers authored by Daniel Tello

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Tello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2011285
2 2017105
3 201954
4 200940
5 201235
6 201629
7 201523
8 202217
9 201216
10 200816
11 201014
12 201710
13 20145
14 20145
15 20184
16 20174
17 20171

About Daniel Tello

Daniel Tello is a scholar working on Molecular Biology, Hepatology, Cancer Research, Radiology, Nuclear Medicine and Imaging and Physiology, having authored 17 papers that have together received 663 indexed citations. Recurring topics across this work include Hepatitis C virus research (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Protein purification and stability (3 papers), Nitric Oxide and Endothelin Effects (3 papers), Genomics and Phylogenetic Studies (2 papers), Redox biology and oxidative stress (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Cancer Research (225 citations), Molecular Biology (388 citations), Biochemistry (40 citations), Hepatology (36 citations) and Physiology (110 citations). Daniel Tello has collaborated with scholars based in Spain, United States and Colombia. Frequent co-authors include Antonio Martínez‐Ruiz, Julián Aragonés, Ainara Elorza, Eduardo Balsa, Manuel O. Landázuri, Elia López-Bernardo, Ester Perales‐Clemente, Bárbara Acosta‐Iborra, Ángel Ordóñez and Susana Cadenas. Their work appears in journals such as Virus Research, Scientific Reports, Cell Metabolism, FEBS Journal and Bioinformatics.

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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