Daniel Paull

3.4k citations
34 papers · 1.4k · h-index 17

Impact in

Papers in

    • Pluripotent Stem Cells Research 12
    • CRISPR and Genetic Engineering 8
    • Retinal Development and Disorders 6
    • Renal and related cancers 5
    • Retinal Diseases and Treatments 4
    • Glaucoma and retinal disorders 3

Daniel Paull

28 papers receiving 1.4k citations

Peers

Daniel Paull
Comparison fields: 5 of 122
  • Aging 55
  • Clinical Biochemistry 120
  • Molecular Biology 948
  • Developmental Neuroscience 50
  • Cognitive Neuroscience 201
Replace Hussein Daoud with:
Hussein Daoud Canada
Ilaria Meloni Italy
Mary Anne Anderson United States
Rocío G. Urdinguio Spain
Zdeněk Sedláček Czechia
Bai-Lin Wu United States
Joseph Wagstaff United States
Gaurav Jain Germany
Heather Johnston Australia
Daniel Poppe Australia
Daniel Paull relative to Hussein Daoud Canada Hussein Daoud's profile →
Citations per field
00.5×3.2×
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Citations per year

Countries citing papers authored by Daniel Paull

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Paull

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007209
2 2012201
3 2011149
4 2014139
5 2016134
6 2017132
7 2014102
8 201996
9 201349
10 201943
11 201624
12 201924
13 201424
14
A Geocoded National Address File for Australia: The G-NAF What, Why, Who and When
200321
15 201919
16 201318
17 202417
18 202216
19 20224
20 20214

About Daniel Paull

Daniel Paull is a scholar working on Molecular Biology, Ophthalmology, Radiology, Nuclear Medicine and Imaging, Public Health, Environmental and Occupational Health and Neurology, having authored 34 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (12 papers), CRISPR and Genetic Engineering (8 papers), Retinal Development and Disorders (6 papers), Renal and related cancers (5 papers), Retinal Diseases and Treatments (4 papers), Reproductive Biology and Fertility (4 papers), Retinal Imaging and Analysis (3 papers) and Glaucoma and retinal disorders (3 papers). The work is most often cited by research in Aging (55 citations), Clinical Biochemistry (120 citations), Molecular Biology (948 citations), Developmental Neuroscience (50 citations) and Cognitive Neuroscience (201 citations). Daniel Paull has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Dieter Egli, Scott Noggle, Mark V. Sauer, Robert Prosser, Richard A. Abrams, Christopher C. Davoli, Feng Du, Matthew Zimmer, Robin Goland and Michio Hirano. Their work appears in journals such as Stem Cell Research, Cell stem cell, Nature, Investigative Ophthalmology & Visual Science and Acta Neuropathologica Communications.

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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