Karin Diggle

504 citations
12 papers · 284 indexed · h-index 10

Impact in

  • Hepatology top 10%
    • Liver physiology and pathology
    • Liver Disease and Transplantation
    • Liver Disease Diagnosis and Treatment
    • Adipokines, Inflammation, and Metabolic Diseases

Papers in

Karin Diggle

12 papers receiving 284 citations

Peers

Karin Diggle
Comparison fields: 5 of 57
  • Hepatology 65
  • Epidemiology 111
  • Aging 3
  • Immunology 36
  • Pharmacology 14
Replace Matias Ekstrand with:
Matias Ekstrand Sweden
Kristina Kannisto Sweden
Laurence Christa France
Omar Sadiq United States
Evan H. Nicklas United States
Zilong Li China
Zhen‐Sheng Yue China
Klara Dickinson United States
Nadia Navari Italy
Yuda Wei China
Karin Diggle relative to Matias Ekstrand Sweden Matias Ekstrand's profile →
Citations per field
00.5×1.5×2.5×
Matias Ekstrand · 1×
Citations per year

Countries citing papers authored by Karin Diggle

Since Specialization
Citations

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

Fields of papers citing papers by Karin Diggle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karin Diggle. 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 Karin Diggle. The network helps show where Karin Diggle may publish in the future.

Co-authors

The 25 scholars most cited alongside Karin Diggle, 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 Karin Diggle Line = papers co-authored together Karin Diggle links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 201664
2 202346
3 199343
4 202134
5 202330
6 202021
7 200311
8 202010
9 20249
10 19959
11 20235
12
Large-scale screening of yeast artificial chromosome libraries using PCR.
19942

About Karin Diggle

Karin Diggle is a scholar working on Hepatology, Cell Biology, Epidemiology, Biochemistry and Surgery, having authored 12 papers that have together received 284 indexed citations. Recurring topics across this work include Liver physiology and pathology (6 papers), Liver Disease Diagnosis and Treatment (6 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Pancreatic function and diabetes (2 papers), Molecular Biology Techniques and Applications (2 papers), Cholesterol and Lipid Metabolism (1 paper), Phagocytosis and Immune Regulation (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Hepatology (65 citations), Epidemiology (111 citations), Aging (3 citations), Immunology (36 citations) and Pharmacology (14 citations). Karin Diggle has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Tatiana Kisseleva, David A. Brenner, Xiao Liu, Xiaodan Li, Hsiao‐Yen Ma, Dilip V. Jeste, Yukinori Koyama, In Hee Kim, Jun Xu and Jan M. Schilling. Their work appears in journals such as Genomics, Stem Cells, Journal of Human Hypertension, Cellular and Molecular Gastroenterology and Hepatology and Biomedicines.

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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