Megan J. Kaliszewski

529 citations
7 papers · 363 indexed · h-index 6
Topics
Lipid Membrane Structure and Behavior (3 papers)Receptor Mechanisms and Signaling (2 papers)Nanoparticle-Based Drug Delivery (1 paper)
Partner nations
United StatesChina

In The Last Decade

Megan J. Kaliszewski

7 papers receiving 362 citations

Peers

Megan J. Kaliszewski
Comparison fields: 5 of 55
  • Molecular Biology 271
  • Cellular and Molecular Neuroscience 94
  • Biophysics 94
  • Radiology, Nuclear Medicine and Imaging 86
  • Oncology 59
Replace Xiaojun Shi with:
Xiaojun Shi United States
Deepti Karandur United States
Deo R. Singh United States
Chi‐Li Chiu United States
Bjoern von Einem Germany
Dennis Janning Germany
Rebecca F. Wissner United States
Christof Buehler United States
Marcel Raspe Netherlands
Lunyi Li China
Megan J. Kaliszewski relative to Xiaojun Shi United States Xiaojun Shi's profile →
Citations per field
00.5×1.5×1.8×
Xiaojun Shi · 1×
Citations per year

Countries citing papers authored by Megan J. Kaliszewski

Since Specialization
Citations

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

Fields of papers citing papers by Megan J. Kaliszewski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Megan J. Kaliszewski

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 1
2 147
3 31
4 21
5 135
6 19
7 9

About Megan J. Kaliszewski

Megan J. Kaliszewski is a scholar working on Biophysics, Cellular and Molecular Neuroscience and Pharmaceutical Science, having authored 7 papers that have together received 363 indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (3 papers), Receptor Mechanisms and Signaling (2 papers) and Nanoparticle-Based Drug Delivery (1 paper). The work is most often cited by research in Biophysics (94 citations), Structural Biology (9 citations) and Cellular and Molecular Neuroscience (94 citations). Megan J. Kaliszewski has collaborated with scholars based in United States and China. Frequent co-authors include Adam W. Smith, Xiaojun Shi, Sean M. Peterson, Shashank Bharill, Ehud Y. Isacoff, John Kuriyan, Yongjian Huang, Deepti Karandur, Zhou Zhou and Kaleeckal G. Harikumar. Their work appears in journals such as Biochemistry, Nature Methods and Langmuir.

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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