Daniel Almquist

462 citations
17 papers · 363 · h-index 9

Impact in

  • Hepatology top 10%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Lung Cancer Research Studies
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Lung Cancer Research Studies 5
    • Cutaneous Melanoma Detection and Management 1
    • Neuroendocrine Tumor Research Advances 6

Daniel Almquist

17 papers receiving 361 citations

Peers

Daniel Almquist
Comparison fields: 5 of 46
  • Hepatology 105
  • Oncology 134
  • Epidemiology 83
  • Cancer Research 35
  • Pulmonary and Respiratory Medicine 65
Replace Srivalli Gopaluni with:
Srivalli Gopaluni United States
Andrew Ddembe Kiberu Australia
Anushi Bulumulle United States
Zhong-Guo Zhou China
Satoshi Moriya Japan
Ryu Otao Japan
Hiroaki Nagano Japan
Ledin Evgeniy Russia
Wolfgang M. Brückl Germany
Gennaro Palmiotti Italy
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Almquist

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Almquist

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2020163
2 202044
3 202024
4 202022
5 201617
6 201816
7 202015
8 202012
9 20239
10 20238
11 20218
12
Treatment landscape of advanced high-grade neuroendocrine neoplasms.
20237
13 20216
14 20195
15 20193
16 20192
17 20182

About Daniel Almquist

Daniel Almquist is a scholar working on Oncology, Epidemiology, Pulmonary and Respiratory Medicine, Cancer Research and Neurology, having authored 17 papers that have together received 363 indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (6 papers), Lung Cancer Research Studies (5 papers), Neuroblastoma Research and Treatments (2 papers), Lung Cancer Treatments and Mutations (2 papers), Cutaneous Melanoma Detection and Management (1 paper), Cancer Genomics and Diagnostics (1 paper), Salivary Gland Tumors Diagnosis and Treatment (1 paper) and Hepatocellular Carcinoma Treatment and Prognosis (1 paper). The work is most often cited by research in Hepatology (105 citations), Oncology (134 citations), Epidemiology (83 citations), Cancer Research (35 citations) and Pulmonary and Respiratory Medicine (65 citations). Daniel Almquist has collaborated with scholars based in United States, Israel and Pakistan. Frequent co-authors include Tanios S. Bekaii-Saab, Daniel H. Ahn, Mohamad Bassam Sonbol, Vinicius Ernani, Apar Kishor Ganti, Jason Scott Starr, Kabir Mody, Amit Mahipal, Pedro Luiz Serrano Usón and Diana Almader‐Douglas. Their work appears in journals such as JCO Oncology Practice, CHEST Journal, Journal of Oncology Practice, JAMA Oncology and Annals of Oncology.

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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