Maeve McConnell

604 citations
16 papers · 531 indexed · h-index 12
Topics
DNA Repair Mechanisms (7 papers)Nuclear Structure and Function (7 papers)RNA Research and Splicing (6 papers)
Partner nations
United StatesJapanRussia

In The Last Decade

Maeve McConnell

16 papers receiving 518 citations

Peers

Maeve McConnell
Comparison fields: 5 of 72
  • Molecular Biology 478
  • Cell Biology 70
  • Genetics 57
  • Plant Science 41
  • Oncology 24
Replace O. V. Preobrazhenskaya with:
O. V. Preobrazhenskaya Russia
Stephanie Schroeder United States
Anja R. Oldenburg Norway
Corwin F. Kostrub United States
Muzaffar Ali Pakistan
Aziz El Hage United Kingdom
Manuel S. Valenzuela United States
S. E. Hardin United States
Slavica Stanojčić France
Takabumi Inagawa Japan
Maeve McConnell relative to O. V. Preobrazhenskaya Russia O. V. Preobrazhenskaya's profile →
Citations per field
00.5×4.5×
O. V. Preobrazhenskaya · 1×
Citations per year

Countries citing papers authored by Maeve McConnell

Since Specialization
Citations

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

Fields of papers citing papers by Maeve McConnell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maeve McConnell

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 56
2 13
3 2
4 5
5 117
6 4
7 36
8 28
9 46
10
Drosophila gp210, an invertebrate nuclear pore complex glycoprotein.
11
11 12
12 31
13 35
14 39
15 81
16 15

About Maeve McConnell

Maeve McConnell is a scholar working on Molecular Biology, Cell Biology and Parasitology, having authored 16 papers that have together received 531 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (7 papers), Nuclear Structure and Function (7 papers) and RNA Research and Splicing (6 papers). The work is most often cited by research in Molecular Biology (478 citations), Aging (11 citations) and Cell Biology (70 citations). Maeve McConnell has collaborated with scholars based in United States, Japan and Russia. Frequent co-authors include Paul A. Fisher, Anne M. Whalen, David E. Smith, Kazuhiro Furukawa, Tsuneyoshi Horigome, Shin Sugiyama, Kathleen M. Downey, Yasuyoshi Nishida, Masaki Inagaki and Hidemasa Goto. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Cell Biology and Biochemistry.

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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