Marisa Meyers‐Needham

693 citations
5 papers · 466 indexed · h-index 5
Topics
Sphingolipid Metabolism and Signaling (3 papers)Endoplasmic Reticulum Stress and Disease (2 papers)Lipid Membrane Structure and Behavior (1 paper)
Partner nations
United StatesCanada

In The Last Decade

Marisa Meyers‐Needham

5 papers receiving 460 citations

Peers

Marisa Meyers‐Needham
Comparison fields: 5 of 73
  • Molecular Biology 386
  • Cell Biology 118
  • Epidemiology 70
  • Physiology 61
  • Cancer Research 51
Replace Yasunori Tokuhara with:
Yasunori Tokuhara Japan
Jennifer L. Mamrosh United States
Marthe-Susanna Wegner Germany
Michelle D. Armstrong United States
Judith Mesicek United States
Avalon Garcia United States
Andrew T. Templin United States
Hirotaka Mizuno Japan
Eon Joo Park United States
Charlie Marvalim Singapore
Marisa Meyers‐Needham relative to Yasunori Tokuhara Japan Yasunori Tokuhara's profile →
Citations per field
00.5×1.5×2.0×
Yasunori Tokuhara · 1×
Citations per year

Countries citing papers authored by Marisa Meyers‐Needham

Since Specialization
Citations

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

Fields of papers citing papers by Marisa Meyers‐Needham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marisa Meyers‐Needham. 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 Marisa Meyers‐Needham. The network helps show where Marisa Meyers‐Needham may publish in the future.

Co-authorship network of co-authors of Marisa Meyers‐Needham

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

All Works

5 of 5 papers shown
#WorkIndexed citations
1 11
2 33
3 53
4 118
5 251

About Marisa Meyers‐Needham

Marisa Meyers‐Needham is a scholar working on Communication, Biochemistry and Cell Biology, having authored 5 papers that have together received 466 indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Lipid Membrane Structure and Behavior (1 paper). The work is most often cited by research in Cell Biology (118 citations), Molecular Biology (386 citations) and Biochemistry (38 citations). Marisa Meyers‐Needham has collaborated with scholars based in United States and Canada. Frequent co-authors include Besim Öğretmen, Can E. Senkal, Suriyan Ponnusamy, Sahar A. Saddoughi, Shanmugam Panneer Selvam, Jacek Bielawski, Paul Dent, Yefim Manevich, Salih Gencer and Wenhui Jiang. Their work appears in journals such as Journal of Biological Chemistry, Molecular Cancer Therapeutics and EMBO Molecular Medicine.

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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