Daniel Bachiller

2.5k citations
38 papers · 2.1k · h-index 20

Impact in

Papers in

Daniel Bachiller

38 papers receiving 2k citations

Peers

Daniel Bachiller
Comparison fields: 5 of 79
  • Developmental Neuroscience 113
  • Molecular Biology 1.3k
  • Urology 115
  • Pharmaceutical Science 80
  • Genetics 324
Replace Ekaterina Andreevna Vorotelyak with:
Ekaterina Andreevna Vorotelyak Russia
Béatrice de Bovis France
Anne Müsch United States
André Royal Canada
David G. Ryan United States
Katsuko Kataoka Japan
Isser Brody Sweden
Doris Coit United States
Malcolm R. Brandon Australia
Mauro Mezzina France
Daniel Bachiller relative to Ekaterina Andreevna Vorotelyak Russia Ekaterina Andreevna Vorotelyak's profile →
Citations per field
00.5×2×4×6×8×9.4×
Ekaterina Andreevna Vorotelyak · 1×
Citations per year

Countries citing papers authored by Daniel Bachiller

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Bachiller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000437
2 2000208
3 2002163
4 2003146
5 2003119
6 2000117
7 199192
8 199985
9 201574
10 201569
11 199463
12 201463
13 200259
14 200755
15 200044
16 200141
17 198640
18 202039
19 201231
20 201927

About Daniel Bachiller

Daniel Bachiller is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Genetics, Biomaterials and Pharmaceutical Science, having authored 38 papers that have together received 2.1k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (11 papers), Pluripotent Stem Cells Research (7 papers), Inhalation and Respiratory Drug Delivery (5 papers), Nanoparticle-Based Drug Delivery (4 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers), Animal Genetics and Reproduction (2 papers), T-cell and B-cell Immunology (2 papers) and Advancements in Transdermal Drug Delivery (2 papers). The work is most often cited by research in Developmental Neuroscience (113 citations), Molecular Biology (1.3k citations), Urology (115 citations), Pharmaceutical Science (80 citations) and Genetics (324 citations). Daniel Bachiller has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include Edward M. De Robertis, John Klingensmith, Ryan M. Anderson, Janet Rossant, Caroline R. Kemp, José António Belo, Eric Agius, Stefano Piccolo, Andrew P. McMahon and Richard M. Harland. Their work appears in journals such as Stem Cell Research, Development, European Respiratory Journal, Stem Cell Reviews and Reports and genesis.

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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