Daniel A. Starr

5.7k citations
59 papers · 4.5k indexed · h-index 36

Impact in

  • Aging top 0.5%
    • Genetics, Aging, and Longevity in Model Organisms
  • Cell Biology top 0.5%
    • Microtubule and mitosis dynamics
    • Cellular Mechanics and Interactions

Papers in

    • Nuclear Structure and Function 44
    • RNA Research and Splicing 36
    • Genomics and Chromatin Dynamics 17
    • DNA Repair Mechanisms 10
    • Microtubule and mitosis dynamics 19
    • Cellular Mechanics and Interactions 5

Daniel A. Starr

57 papers receiving 4.4k citations

Peers

Daniel A. Starr
Comparison fields: 5 of 98
  • Aging 420
  • Cell Biology 2.0k
  • Molecular Biology 3.9k
  • Plant Science 544
  • Immunology and Allergy 54
Replace Silvia Bonaccorsi with:
Silvia Bonaccorsi Italy
Francis J. McNally United States
Eyal D. Schejter Israel
Julie C. Canman United States
Janice A. Fischer United States
Simon L. Bullock United Kingdom
Pier Paolo D’Avino United Kingdom
Tony Harris Canada
Amy Shaub Maddox United States
Joseph B. Duffy United States
Daniel A. Starr relative to Silvia Bonaccorsi Italy Silvia Bonaccorsi's profile →
Citations per field
00.5×
Silvia Bonaccorsi · 1×
Citations per year

Countries citing papers authored by Daniel A. Starr

Since Specialization
Citations

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

Fields of papers citing papers by Daniel A. Starr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010452
2 2002332
3 2001239
4 1998219
5 2005184
6 2002181
7 2000171
8 2011170
9 2009164
10 2012154
11 2001154
12 2002142
13 2005133
14 2010125
15 2006122
16 2009110
17 2000100
18 199796
19 201194
20 201493

About Daniel A. Starr

Daniel A. Starr is a scholar working on Molecular Biology, Cell Biology, Aging, Plant Science and Cellular and Molecular Neuroscience, having authored 59 papers that have together received 4.5k indexed citations. Recurring topics across this work include Nuclear Structure and Function (44 papers), RNA Research and Splicing (36 papers), Microtubule and mitosis dynamics (19 papers), Genomics and Chromatin Dynamics (17 papers), Genetics, Aging, and Longevity in Model Organisms (11 papers), DNA Repair Mechanisms (10 papers), Cellular Mechanics and Interactions (5 papers) and Plant Molecular Biology Research (3 papers). The work is most often cited by research in Aging (420 citations), Cell Biology (2.0k citations), Molecular Biology (3.9k citations), Plant Science (544 citations) and Immunology and Allergy (54 citations). Daniel A. Starr has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Heidi N. Fridolfsson, Min Han, Michael L. Goldberg, Tim J. Yen, Byron C. Williams, Janice A. Fischer, G. W. Gant Luxton, Thomas S. Hays, Matthew D. McGee and Joshua R. Sanes. Their work appears in journals such as Molecular Biology of the Cell, Journal of Cell Science, The Journal of Cell Biology, Development and Current Biology.

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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