Daniel G. Abernathy

628 citations
13 papers · 457 indexed · h-index 9
Topics
MicroRNA in disease regulation (4 papers)Pluripotent Stem Cells Research (3 papers)Insect symbiosis and bacterial influences (2 papers)
Partner nations
United StatesFranceSpain

In The Last Decade

Daniel G. Abernathy

13 papers receiving 451 citations

Peers

Daniel G. Abernathy
Comparison fields: 5 of 76
  • Molecular Biology 283
  • Cellular and Molecular Neuroscience 74
  • Cancer Research 66
  • Insect Science 59
  • Plant Science 51
Replace Nobuaki Okumura with:
Nobuaki Okumura Japan
Thomas Poyot France
Nam‐Hyung Kim South Korea
Jin‐Tae Jeon South Korea
Pia Runeberg‐Roos Finland
Zhennan Xu China
Qingping Tang China
Ki Hyun Yoo South Korea
Olga Baron Germany
F. Bianchi Italy
Daniel G. Abernathy relative to Nobuaki Okumura Japan Nobuaki Okumura's profile →
Citations per field
00.5×3.3×
Nobuaki Okumura · 1×
Citations per year

Countries citing papers authored by Daniel G. Abernathy

Since Specialization
Citations

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

Fields of papers citing papers by Daniel G. Abernathy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel G. Abernathy

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel G. Abernathy. A scholar is included among the top collaborators of Daniel G. Abernathy 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 Daniel G. Abernathy. Daniel G. Abernathy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 55
2 41
3 8
4 1
5 109
6 64
7 18
8 42
9 8
10 84
11
New approaches for mapping PPV (Plum pox virus) resistance in apricot (Prunus armeniaca).
4
12 6
13 17

About Daniel G. Abernathy

Daniel G. Abernathy is a scholar working on Cancer Research, Insect Science and Molecular Biology, having authored 13 papers that have together received 457 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (4 papers), Pluripotent Stem Cells Research (3 papers) and Insect symbiosis and bacterial influences (2 papers). The work is most often cited by research in Developmental Neuroscience (47 citations), Insect Science (59 citations) and Cancer Research (66 citations). Daniel G. Abernathy has collaborated with scholars based in United States, France and Spain. Frequent co-authors include Barry Starcher, Andrew S. Yoo, Gary Spedding, Yangjian Liu, Michelle Richner, Matheus B. Victor, Matthew J. McCoy, Flaminia Catteruccia, Kelsey Adams and Maurice A. Itoe. Their work appears in journals such as Biochemistry, Nature Protocols and Cell stem cell.

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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