Ann-Marie Conway

640 citations
17 papers · 581 indexed · h-index 12
Topics
Sphingolipid Metabolism and Signaling (10 papers)Protein Kinase Regulation and GTPase Signaling (7 papers)Cellular transport and secretion (4 papers)
Partner nations
United KingdomGermany

In The Last Decade

Ann-Marie Conway

17 papers receiving 568 citations

Peers

Ann-Marie Conway
Comparison fields: 5 of 66
  • Molecular Biology 481
  • Cell Biology 134
  • Cellular and Molecular Neuroscience 88
  • Physiology 77
  • Immunology 49
Replace Soma Rakhit with:
Soma Rakhit United Kingdom
А. Г. Бабич Germany
Christopher L. Carpenter United States
Balwinder Sambi United Kingdom
Sandrine Evellin Germany
Elena Sánchez-Heras United Kingdom
Nathalie Matter France
Rosalía Matteo United States
B. Omri France
Srikumar Sinnarajah United States
Ann-Marie Conway relative to Soma Rakhit United Kingdom Soma Rakhit's profile →
Citations per field
00.5×
Soma Rakhit · 1×
Citations per year

Countries citing papers authored by Ann-Marie Conway

Since Specialization
Citations

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

Fields of papers citing papers by Ann-Marie Conway

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ann-Marie Conway. 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 Ann-Marie Conway. The network helps show where Ann-Marie Conway may publish in the future.

Co-authorship network of co-authors of Ann-Marie Conway

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 6
2 9
3 77
4 13
5 16
6 19
7 30
8 110
9 14
10 1
11 56
12 81
13 78
14 24
15 4
16 37
17 6

About Ann-Marie Conway

Ann-Marie Conway is a scholar working on Cell Biology, Developmental Neuroscience and Molecular Biology, having authored 17 papers that have together received 581 indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (10 papers), Protein Kinase Regulation and GTPase Signaling (7 papers) and Cellular transport and secretion (4 papers). The work is most often cited by research in Cell Biology (134 citations), Molecular Biology (481 citations) and Cellular and Molecular Neuroscience (88 citations). Ann-Marie Conway has collaborated with scholars based in United Kingdom and Germany. Frequent co-authors include Susan Pyne, Nigel J. Pyne, Soma Rakhit, Brian Morris, Allan B. James, Rothwelle J. Tate, Gerald Thiel and Jie Zang. Their work appears in journals such as Journal of Neuroscience, Biochemical Journal and British Journal of Pharmacology.

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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