Diana Hide

1.0k citations
21 papers · 791 · h-index 14

Impact in

  • Hepatology top 2%
    • Liver Disease and Transplantation
    • Liver physiology and pathology
    • Liver Diseases and Immunity
    • Liver Disease Diagnosis and Treatment
    • Autophagy in Disease and Therapy

Papers in

    • Liver Disease Diagnosis and Treatment 17
    • Liver Disease and Transplantation 14
    • Liver physiology and pathology 8

Diana Hide

21 papers receiving 780 citations

Peers

Diana Hide
Comparison fields: 5 of 75
  • Hepatology 454
  • Epidemiology 529
  • Pharmacology 68
  • Cancer Research 72
  • Aging 8
Replace Natascha Roehlen with:
Natascha Roehlen Germany
Sergi Guixé‐Muntet Spain
Kengo Kawai Japan
Shigeki Tsukada United States
S. Galastri Italy
Joeri Lambrecht Germany
Kenichiro Mikami Japan
Maria Ruart Spain
Chongyang Zhang China
Diana Hide relative to Natascha Roehlen Germany Natascha Roehlen's profile →
Citations per field
00.5×20×40×64×
Natascha Roehlen · 1×
Citations per year

Countries citing papers authored by Diana Hide

Since Specialization
Citations

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

Fields of papers citing papers by Diana Hide

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012192
2 2018113
3 201283
4 201356
5 201752
6 201949
7 201945
8 201639
9 201432
10 201926
11 202224
12 201418
13 202117
14 202015
15 201612
16 20237
17 20205
18 20233
19 20121
20 20181

About Diana Hide

Diana Hide is a scholar working on Epidemiology, Hepatology, Molecular Biology, Surgery and Pharmacology, having authored 21 papers that have together received 791 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (17 papers), Liver Disease and Transplantation (14 papers), Liver physiology and pathology (8 papers), Kruppel-like factors research (2 papers), Mitochondrial Function and Pathology (2 papers), Organ Transplantation Techniques and Outcomes (2 papers), Pancreatic function and diabetes (1 paper) and Apelin-related biomedical research (1 paper). The work is most often cited by research in Hepatology (454 citations), Epidemiology (529 citations), Pharmacology (68 citations), Cancer Research (72 citations) and Aging (8 citations). Diana Hide has collaborated with scholars based in Spain, Switzerland and Australia. Frequent co-authors include Jordi Gracia‐Sancho, Jaime Bosch, Juan Carlos García‐Pagán, Giusi Marrone, Martí Ortega‐Ribera, Anabel Fernández‐Iglesias, Guillermo García‐Cardeña, Eugenio Rosado, Lucia Russo and Sergi Guixé‐Muntet. Their work appears in journals such as Journal of Hepatology, Scientific Reports, Liver International, The Journals of Gerontology Series A and Disease Models & Mechanisms.

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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