Daniel Almquist

439 citations
18 papers · 303 · h-index 8

Impact in

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

Papers in

    • Lung Cancer Research Studies 9
    • Cancer Immunotherapy and Biomarkers 2
    • Colorectal Cancer Treatments and Studies 1
    • Neuroendocrine Tumor Research Advances 10

Daniel Almquist

18 papers receiving 302 citations

Peers

Daniel Almquist
Comparison fields: 5 of 54
  • Hepatology 102
  • Oncology 169
  • Epidemiology 103
  • Pathology and Forensic Medicine 48
  • Pulmonary and Respiratory Medicine 85
Replace Mark Karwal with:
Mark Karwal United States
Burcin Özdirik Germany
Ryu Otao Japan
Zhong-Guo Zhou China
Denise N. Gansen United States
Loretta D’Onofrio Italy
Satoshi Moriya Japan
Ting‐Jung Wu Taiwan
Zexin Zhu China
Daniel Almquist relative to Mark Karwal United States Mark Karwal's profile →
Citations per field
00.5×6.5×
Mark Karwal · 1×
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

18 of 18 papers shown
#Work
1 2020137
2 202035
3 202023
4 202019
5 201814
6 202013
7 201612
8 202011
9 20237
10 20237
11
Treatment landscape of advanced high-grade neuroendocrine neoplasms.
20235
12 20215
13 20195
14 20194
15 20182
16 20192
17 20191
18 20211

About Daniel Almquist

Daniel Almquist is a scholar working on Oncology, Epidemiology, Molecular Biology, Pulmonary and Respiratory Medicine and Neurology, having authored 18 papers that have together received 303 indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (10 papers), Lung Cancer Research Studies (9 papers), Neuroblastoma Research and Treatments (4 papers), Cancer therapeutics and mechanisms (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Lung Cancer Treatments and Mutations (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (1 paper) and Colorectal Cancer Treatments and Studies (1 paper). The work is most often cited by research in Hepatology (102 citations), Oncology (169 citations), Epidemiology (103 citations), Pathology and Forensic Medicine (48 citations) and Pulmonary and Respiratory Medicine (85 citations). Daniel Almquist has collaborated with scholars based in United States, Pakistan and Israel. Frequent co-authors include Tanios Bekaii‐Saab, Daniel H. Ahn, Mohamad Bassam Sonbol, Vinicius Ernani, Jason S. Starr, Diana Almader‐Douglas, Pedro Luiz Serrano Usón, Jehad Almasri, Kabir Mody and Syed Arsalan Ahmed Naqvi. Their work appears in journals such as Journal of Clinical Oncology, CHEST Journal, Cancer, Postgraduate Medical Journal and JCO Precision 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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