Megan M. Young

3.0k total citations · 1 hit paper
41 papers, 2.4k citations indexed

About

Megan M. Young is a scholar working on Molecular Biology, Epidemiology and Cell Biology. According to data from OpenAlex, Megan M. Young has authored 41 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 16 papers in Epidemiology and 9 papers in Cell Biology. Recurrent topics in Megan M. Young's work include Autophagy in Disease and Therapy (16 papers), Sphingolipid Metabolism and Signaling (8 papers) and Cellular transport and secretion (7 papers). Megan M. Young is often cited by papers focused on Autophagy in Disease and Therapy (16 papers), Sphingolipid Metabolism and Signaling (8 papers) and Cellular transport and secretion (7 papers). Megan M. Young collaborates with scholars based in United States, China and India. Megan M. Young's co-authors include Hong‐Gang Wang, Mark Kester, Yoshinori Takahashi, Zhenyuan Tang, Hongbo Cong, Gang Cheng, Hui-Feng Wang, Fu‐Jian Xu, Haiyan He and Jacob M. Serfass and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Cell Biology.

In The Last Decade

Megan M. Young

41 papers receiving 2.4k citations

Hit Papers

Neutrophil-induced ferroptosis promotes tumor necrosis in... 2020 2026 2022 2024 2020 100 200 300

Peers

Megan M. Young
Comparison fields: 5 of 120
  • Molecular Biology 1.2k
  • Epidemiology 865
  • Cell Biology 489
  • Cancer Research 287
  • Immunology 262
Replace Douglas A. Kniss with:
Douglas A. Kniss United States
Shiyu Wang United States
Xiao Ming Yin China
Tokuhiro Chano Japan
Fang Mei United States
Andrius Masedunskas United States
Patrick B. Dennis United States
Bogdan I. Florea Netherlands
Nan Lü China
Douglas A. Kniss United States View profile →
Citations per field, relative to Megan M. Young
Megan M. Young · 1×
Citations per year, relative to Megan M. Young
Megan M. Young · 1×

Countries citing papers authored by Megan M. Young

Since Specialization
Citations

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

Fields of papers citing papers by Megan M. Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Megan M. Young. 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 Megan M. Young. The network helps show where Megan M. Young may publish in the future.

Co-authorship network of co-authors of Megan M. Young

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 34
2 37
3
Neutrophil-induced ferroptosis promotes tumor necrosis in glioblastoma progression breakdown →
302
4 26
5 14
6 93
7 31
8 3
9 8
10 263
11 26
12 67
13 39
14 9
15 14
16 63
17 300
18 286
19 21
20 53

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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2026