Dianne H. Dapito

6.1k citations
18 papers · 4.3k indexed · 5 hit papers · h-index 17

Dianne H. Dapito

18 papers receiving 4.3k citations

Hit Papers

High-yield and high-purity isolation of hepatic stellate ...40720122026201620212505007501000

Peers

Dianne H. Dapito
Comparison fields: 5 of 112
  • Hepatology 2.0k
  • Epidemiology 2.2k
  • Immunology 735
  • Cell Biology 414
  • Cancer Research 368
Replace Ingmar Mederacke with:
Ingmar Mederacke Germany
Kouichi Miura Japan
Honglei Weng Germany
Felix Heymann Germany
Simon C. Afford United Kingdom
Debanjan Dhar United States
Hirohide Ohnishi Japan
Mihael Vucur Germany
Pedro Majano Spain
Tomohide Tatsumi Japan
Dianne H. Dapito relative to Ingmar Mederacke Germany Ingmar Mederacke's profile →
Citations per field
00.5×1.5×
Ingmar Mederacke · 1×
Citations per year

Countries citing papers authored by Dianne H. Dapito

Since Specialization
Citations

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

Fields of papers citing papers by Dianne H. Dapito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dianne H. Dapito. 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 Dianne H. Dapito. The network helps show where Dianne H. Dapito may publish in the future.

Co-authorship network

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

All Works

18 of 18 papers shown
#Work
1 202352
2 202119
3 202047
4 202011
5 202029
6 201628
7 201551
8
High-yield and high-purity isolation of hepatic stellate cells from normal and fibrotic mouse liversbreakdown →
2015407
9 2014116
10 201463
11 201487
12 2013261
13
Fate tracing reveals hepatic stellate cells as dominant contributors to liver fibrosis independent of its aetiologybreakdown →
20131035
14
Hepatic macrophages but not dendritic cells contribute to liver fibrosis by promoting the survival of activated hepatic stellate cells in micebreakdown →
2013482
15
Deactivation of Hepatic Stellate Cells During Liver Fibrosis Resolution in Micebreakdown →
2012392
16
Promotion of Hepatocellular Carcinoma by the Intestinal Microbiota and TLR4breakdown →
2012999
17 2011105
18 2010126

About Dianne H. Dapito

Dianne H. Dapito is a scholar working on Hepatology, Epidemiology and Rehabilitation, having authored 18 papers that have together received 4.3k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (10 papers), Liver physiology and pathology (9 papers), Adipose Tissue and Metabolism (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Exercise and Physiological Responses (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Genetic and Kidney Cyst Diseases (2 papers) and Clinical Nutrition and Gastroenterology (1 paper). The work is most often cited by research in Hepatology (2.0k citations), Epidemiology (2.2k citations) and Immunology (735 citations). Dianne H. Dapito has collaborated with scholars based in United States, Spain and Switzerland. Frequent co-authors include Robert F. Schwabe, Jean‐Philippe Pradère, Ingmar Mederacke, Juliane S. Troeger, Xueru Mu, Christine Hsu, Geum‐Youn Gwak, Richard A. Friedman, Peter Huebener and Silvia Affò. Their work appears in journals such as Cell Reports, Gut, Gastroenterology, Cell Metabolism and Seminars in Liver Disease.

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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