Daniel Pardo

505 citations
15 papers · 392 · h-index 9

Impact in

Papers in

    • RNA and protein synthesis mechanisms 4
    • Biochemical and Molecular Research 2
    • RNA modifications and cancer 2
    • Nitric Oxide and Endothelin Effects 5

Daniel Pardo

15 papers receiving 379 citations

Peers

Daniel Pardo
Comparison fields: 5 of 72
  • Biochemistry 38
  • Physiology 118
  • Molecular Biology 196
  • Cardiology and Cardiovascular Medicine 58
  • Obstetrics and Gynecology 19
Replace Yuxuan Luo with:
Yuxuan Luo China
A. Schneider Germany
Denis Ravel France
Flore Aubey France
Christina Gaspar Villela Brazil
Annette L. Regec United States
Donna S. Woodard United States
Lauar de Brito Monteiro Canada
T. Matsuoka Japan
Sonia Philipose Austria
Daniel Pardo relative to Yuxuan Luo China Yuxuan Luo's profile →
Citations per field
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Yuxuan Luo · 1×
Citations per year

Countries citing papers authored by Daniel Pardo

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Pardo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2011176
2 201453
3 197739
4 201336
5 201019
6 197416
7 197714
8 19799
9
[Localization of the genes of 28S and 18S RNA in human somatic chromosomes by in situ hybridization].
19758
10 19836
11 20144
12 20114
13 19884
14 19833
15 20241

About Daniel Pardo

Daniel Pardo is a scholar working on Molecular Biology, Physiology, Cardiology and Cardiovascular Medicine, Biochemistry and Pulmonary and Respiratory Medicine, having authored 15 papers that have together received 392 indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (5 papers), RNA and protein synthesis mechanisms (4 papers), Renin-Angiotensin System Studies (4 papers), Biochemical and Molecular Research (2 papers), Bacterial Genetics and Biotechnology (2 papers), Eicosanoids and Hypertension Pharmacology (2 papers), Respiratory Support and Mechanisms (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Biochemistry (38 citations), Physiology (118 citations), Molecular Biology (196 citations), Cardiology and Cardiovascular Medicine (58 citations) and Obstetrics and Gynecology (19 citations). Daniel Pardo has collaborated with scholars based in France, United States and Colombia. Frequent co-authors include Roland Rosset, Ruslan Rafikov, Stephen M. Black, Sanjiv Kumar, David Fulton, Shawn Elms, Fábio V. Fonseca, Saurabh Aggarwal, Archana Kangath and Yali Hou. Their work appears in journals such as Frontiers in Pediatrics, FEBS Letters, Journal of Biological Chemistry, Protein Expression and Purification and Journal of Endocrinology.

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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