McKenna Feltes

681 citations
6 papers · 473 indexed · 1 hit paper · h-index 5
Topics
Calcium signaling and nucleotide metabolism (3 papers)Lysosomal Storage Disorders Research (3 papers)Cellular transport and secretion (2 papers)
Partner nations
United States

In The Last Decade

McKenna Feltes

6 papers receiving 472 citations

Hit Papers

Lysosomal cholesterol activates mTORC1 via an SLC38A9–Nie...20172026202020232017100200300

Peers

McKenna Feltes
Comparison fields: 5 of 67
  • Molecular Biology 234
  • Physiology 129
  • Cell Biology 126
  • Epidemiology 109
  • Physiology 99
Replace Reini E.N. van der Welle with:
Reini E.N. van der Welle United States
Christine Michiels Belgium
Justine Lengrand France
Riccardo Trapannone Austria
Kristiina Kanerva Finland
Priyanka Madireddi United States
Jaime Cárcel‐Trullols United States
Melanie Thelen Germany
Katja Höpker Germany
Kacper B. Rogala United Kingdom
McKenna Feltes relative to Reini E.N. van der Welle United States Reini E.N. van der Welle's profile →
Citations per field
00.5×1.5×
Reini E.N. van der Welle · 1×
Citations per year

Countries citing papers authored by McKenna Feltes

Since Specialization
Citations

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

Fields of papers citing papers by McKenna Feltes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of McKenna Feltes

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

All Works

6 of 6 papers shown
#WorkIndexed citations
1 1
2 10
3 28
4 17
5 23
6
Lysosomal cholesterol activates mTORC1 via an SLC38A9–Niemann-Pick C1 signaling complexbreakdown →
394

About McKenna Feltes

McKenna Feltes is a scholar working on Physiology, Cell Biology and Physiology, having authored 6 papers that have together received 473 indexed citations. Recurring topics across this work include Calcium signaling and nucleotide metabolism (3 papers), Lysosomal Storage Disorders Research (3 papers) and Cellular transport and secretion (2 papers). The work is most often cited by research in Physiology (99 citations), Cell Biology (126 citations) and Aging (9 citations). McKenna Feltes has collaborated with scholars based in United States. Frequent co-authors include Daniel S. Ory, Douglas F. Covey, Laurel Mydock‐McGrane, Roberto Zoncu, Ashley Thelen, Ofer Moldavski, Rushika M. Perera, Sharon M. Louie, Oliver B. Davis and Daniel K. Nomura. Their work appears in journals such as Science, Human Molecular Genetics and Journal of Lipid Research.

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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