Whitney E. Muhlestein

1.6k citations
20 papers · 1.2k indexed · 1 hit paper · h-index 7
Topics
Artificial Intelligence in Healthcare and Education (5 papers)Cardiac, Anesthesia and Surgical Outcomes (4 papers)Traumatic Brain Injury and Neurovascular Disturbances (4 papers)

In The Last Decade

Whitney E. Muhlestein

17 papers receiving 1.2k citations

Hit Papers

Induction of pluripotent stem cells from primary human fi...20082026201420202008250500750

Peers

Whitney E. Muhlestein
Comparison fields: 5 of 111
  • Molecular Biology 936
  • Surgery 249
  • Biomedical Engineering 163
  • Physiology 112
  • Genetics 100
Replace Guson Kang with:
Guson Kang United States
In Young Choi South Korea
A. Karim Ahmed United States
Siddharth K. Prakash United States
Amy L. Juraszek United States
Saksham Gupta United States
Ângela Romano Italy
Laura D. Leonard United States
Alessandra Rampazzo Italy
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Citations per field
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Guson Kang · 1×
Citations per year

Countries citing papers authored by Whitney E. Muhlestein

Since Specialization
Citations

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

Fields of papers citing papers by Whitney E. Muhlestein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Whitney E. Muhlestein. 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 Whitney E. Muhlestein. The network helps show where Whitney E. Muhlestein may publish in the future.

Co-authorship network of co-authors of Whitney E. Muhlestein

This figure shows the co-authorship network connecting the top 25 collaborators of Whitney E. Muhlestein. A scholar is included among the top collaborators of Whitney E. Muhlestein 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 Whitney E. Muhlestein. Whitney E. Muhlestein 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
#WorkIndexed citations
1 1
2 0
3 4
4 1
5 1
6 0
7 0
8 3
9 3
10 6
11 2
12 7
13 1
14 61
15 24
16 16
17 50
18 6
19 27
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Induction of pluripotent stem cells from primary human fibroblasts with only Oct4 and Sox2breakdown →
987

About Whitney E. Muhlestein

Whitney E. Muhlestein is a scholar working on Health Informatics, Neurology and Cardiology and Cardiovascular Medicine, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (5 papers), Cardiac, Anesthesia and Surgical Outcomes (4 papers) and Traumatic Brain Injury and Neurovascular Disturbances (4 papers). The work is most often cited by research in Health Informatics (32 citations), Molecular Biology (936 citations) and Genetics (87 citations). Whitney E. Muhlestein has collaborated with scholars based in United States, Taiwan and Netherlands. Frequent co-authors include Danwei Huangfu, Shuibing Chen, Wenjun Guo, René Maehr, Kenji Osafune, Douglas A. Melton, Astrid Eijkelenboom, Lola B. Chambless, Silky Chotai and Jason M. Davies. Their work appears in journals such as Nature Biotechnology, Journal of neurosurgery and Neurosurgery.

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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