Daniela Allende

4.0k citations
95 papers · 1.7k · h-index 26

Impact in

  • Hepatology top 5%
    • Liver Disease Diagnosis and Treatment
    • Microscopic Colitis
    • Neuroendocrine Tumor Research Advances

Papers in

    • Liver Disease Diagnosis and Treatment 17
    • Pancreatic and Hepatic Oncology Research 11
    • Colorectal Cancer Screening and Detection 5
    • Colorectal Cancer Surgical Treatments 4

Daniela Allende

82 papers receiving 1.7k citations

Peers

Daniela Allende
Comparison fields: 5 of 96
  • Hepatology 143
  • Epidemiology 492
  • Oncology 370
  • Gastroenterology 57
  • Pathology and Forensic Medicine 167
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Daniela Allende relative to Kazuo Yashima Japan Kazuo Yashima's profile →
Citations per field
00.5×5.2×
Kazuo Yashima · 1×
Citations per year

Countries citing papers authored by Daniela Allende

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Allende

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018158
2 201795
3 202178
4 201872
5 201453
6 202051
7 202051
8 202047
9 201746
10 201342
11 202141
12 201940
13 202237
14 200937
15 200835
16 200835
17 202234
18 200933
19 201331
20 201429

About Daniela Allende

Daniela Allende is a scholar working on Epidemiology, Oncology, Surgery, Hepatology and Pulmonary and Respiratory Medicine, having authored 95 papers that have together received 1.7k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (17 papers), Pancreatic and Hepatic Oncology Research (11 papers), Liver Disease and Transplantation (8 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Colorectal Cancer Screening and Detection (5 papers), Colorectal Cancer Surgical Treatments (4 papers) and Alcohol Consumption and Health Effects (4 papers). The work is most often cited by research in Hepatology (143 citations), Epidemiology (492 citations), Oncology (370 citations), Gastroenterology (57 citations) and Pathology and Forensic Medicine (167 citations). Daniela Allende has collaborated with scholars based in United States, Türkiye and United Kingdom. Frequent co-authors include Lisa Yerian, John R. Goldblum, Laura E. Nagy, Christine N. Booth, Richard A. Prayson, Mariana Berho, Steven D. Wexner, Xiuli Liu, Rocío López and Arthur J. McCullough. Their work appears in journals such as Colorectal Disease, American Journal of Clinical Pathology, The American Journal of Surgical Pathology, Hepatology Communications and The American Journal of Gastroenterology.

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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