David Romero

427 citations
12 papers · 329 indexed · h-index 6
Topics
Error Correcting Code Techniques (3 papers)Advanced Wireless Communication Techniques (3 papers)Cancer Treatment and Pharmacology (2 papers)
Partner nations
United StatesBrazilSpain

In The Last Decade

David Romero

12 papers receiving 317 citations

Peers

David Romero
Comparison fields: 5 of 84
  • Molecular Biology 107
  • Health, Toxicology and Mutagenesis 105
  • Cancer Research 66
  • Immunology 65
  • Oncology 50
Replace Angela J. Harris with:
Angela J. Harris United States
Sun Young Kim South Korea
Matthew Heindel United States
J M Ward United States
Jessica Whritenour United States
Frédéric Schorsch France
Diana L. Kleiman de Pisarev Argentina
Mary Rissel France
Yuzhen Niu China
Takuomi Hosaka Japan
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Citations per field
00.5×4.5×
Angela J. Harris · 1×
Citations per year

Countries citing papers authored by David Romero

Since Specialization
Citations

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

Fields of papers citing papers by David Romero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Romero

This figure shows the co-authorship network connecting the top 25 collaborators of David Romero. A scholar is included among the top collaborators of David Romero based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Romero. David Romero is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 3
2 1
3 8
4 2
5 46
6 1
7 2
8 71
9
PF-00337210, a potent, selective and orally bioavailable small molecule inhibitor of VEGFR-2
7
10
PK/PD modeling based on mouse xenograft tumor growth inhibition and the correlation to clinical exposure for VEGF/PDGF receptor tyrosine kinase inhibitor AG-013736
2
11 56
12 130

About David Romero

David Romero is a scholar working on Computer Networks and Communications, Pharmaceutical Science and Clinical Biochemistry, having authored 12 papers that have together received 329 indexed citations. Recurring topics across this work include Error Correcting Code Techniques (3 papers), Advanced Wireless Communication Techniques (3 papers) and Cancer Treatment and Pharmacology (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (105 citations), Cancer Research (66 citations) and Pharmacology (33 citations). David Romero has collaborated with scholars based in United States, Brazil and Spain. Frequent co-authors include Scott W. Burchiel, Donna R. Davila, Shinji Yamazaki, Tatiana Koudriakova, Fredine T. Lauer, Barbara Mounho, Jan Born, Helen Y. Zou, James G. Christensen and Joseph H. Lee. Their work appears in journals such as Cancer Research, Toxicology and Applied Pharmacology and Drug Metabolism and Disposition.

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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