Kathryn E. Wack

879 citations
4 papers · 685 · h-index 4

Impact in

  • Hepatology top 5%
    • Liver physiology and pathology
    • 3D Printing in Biomedical Research
    • Innovative Microfluidic and Catalytic Techniques Innovation
    • Microfluidic and Bio-sensing Technologies
    • Microfluidic and Capillary Electrophoresis Applications

Papers in

    • Liver physiology and pathology 3
    • Pancreatic function and diabetes 1

Kathryn E. Wack

4 papers receiving 655 citations

Peers

Kathryn E. Wack
Comparison fields: 5 of 73
  • Hepatology 237
  • Biomedical Engineering 475
  • Surgery 199
  • Biomaterials 57
  • Cell Biology 55
Replace Yasuhito Nagamoto with:
Yasuhito Nagamoto Japan
Jeremy J. Velazquez United States
Susanne Ng Singapore
Jiu Deng China
Preety Rawal India
Weijie Zhao China
Kate Cameron United Kingdom
Charis‐Patricia Segeritz United Kingdom
Aliçan Özkan United States
Natesh Parashurama United States
Kathryn E. Wack relative to Yasuhito Nagamoto Japan Yasuhito Nagamoto's profile →
Citations per field
00.5×1.5×2.1×
Yasuhito Nagamoto · 1×
Citations per year

Countries citing papers authored by Kathryn E. Wack

Since Specialization
Citations

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

Fields of papers citing papers by Kathryn E. Wack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Kathryn E. Wack, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kathryn E. Wack Line = papers co-authored together Kathryn E. Wack links everyone, so they are left out of the graph.

All Works

About Kathryn E. Wack

Kathryn E. Wack is a scholar working on Hepatology, Surgery, Biomedical Engineering, Molecular Biology and Epidemiology, having authored 4 papers that have together received 685 indexed citations. Recurring topics across this work include Liver physiology and pathology (3 papers), 3D Printing in Biomedical Research (2 papers), Metabolism and Genetic Disorders (1 paper), Adenosine and Purinergic Signaling (1 paper), Muscle Physiology and Disorders (1 paper), Innovative Microfluidic and Catalytic Techniques Innovation (1 paper), Liver Disease Diagnosis and Treatment (1 paper) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Hepatology (237 citations), Biomedical Engineering (475 citations), Surgery (199 citations), Biomaterials (57 citations) and Cell Biology (55 citations). Kathryn E. Wack has collaborated with scholars based in United States. Frequent co-authors include Donna B. Stolz, Mark J. Powers, Linda G. Griffith, Roger D. Kamm, Adam T. Capitano, Mohammad R. K. Mofrad, Karel Domanský, Petra Kurzawski, Arpita Upadhyaya and Simon C. Watkins. Their work appears in journals such as Biotechnology and Bioengineering, Molecular Medicine, Hepatology and Tissue Engineering.

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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