Daniel P. Romero

2.7k citations
16 papers · 527 indexed · h-index 11
  • Aging top 10%
  • Physiology top 10%
    • Telomeres, Telomerase, and Senescence 5
    • Protist diversity and phylogeny 8
    • Advanced biosensing and bioanalysis techniques 4
    • Epigenetics and DNA Methylation 2
    • Chromosomal and Genetic Variations 6
    • Microbial Community Ecology and Physiology 2
    • Genetic and Kidney Cyst Diseases 2
    • Microtubule and mitosis dynamics 2

Daniel P. Romero

16 papers receiving 517 citations

Peers

Daniel P. Romero
Comparison fields: 5 of 43
  • Aging 22
  • Physiology 277
  • Molecular Biology 479
  • Plant Science 113
  • Ecology 66
Replace Karen E. Kirk with:
Karen E. Kirk United States
Andrew B Dalby United States
Eric Gilson France
Kathleen Houtchens United States
Fang-miin Sheen United States
Franziska Jönsson Germany
Anthony E. Ambrosini United States
Qingli Liu United States
Antoine Hocher United Kingdom
Nava Baran Israel
Daniel P. Romero relative to Karen E. Kirk United States Karen E. Kirk's profile →
Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by Daniel P. Romero

Since Specialization
Citations

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

Fields of papers citing papers by Daniel P. Romero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

16 of 16 papers shown
#Work
1 20232
2 20233
3 200919
4 200424
5 20023
6 200225
7 200111
8 200024
9
Telomerase activity, Myc and Bcl-2: possible indicators of effective therapy of prostate cancer with 9-nitrocamptothecin.
20004
10 19995
11 199655
12 199515
13 199544
14 199578
15 1991201
16 198614

About Daniel P. Romero

Daniel P. Romero is a scholar working on Biotechnology, Molecular Biology and Physiology, having authored 16 papers that have together received 527 indexed citations. Recurring topics across this work include Protist diversity and phylogeny (8 papers), Chromosomal and Genetic Variations (6 papers), Telomeres, Telomerase, and Senescence (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), Microbial Community Ecology and Physiology (2 papers), Genetic and Kidney Cyst Diseases (2 papers), Epigenetics and DNA Methylation (2 papers) and Microtubule and mitosis dynamics (2 papers). The work is most often cited by research in Aging (22 citations), Physiology (277 citations) and Molecular Biology (479 citations). Daniel P. Romero has collaborated with scholars based in United States, Poland and Germany. Frequent co-authors include Elizabeth H. Blackburn, Eric S. Cole, Robert R. Traut, Barry S. Cooperman, T. R. Marsh, J. Joshua Smith, Albert E. Dahĺberg, Juan Sebastián Yakisich, Colin Campbell and Geoffrey M. Kapler.

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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