Daniel Delitto

1.9k citations
49 papers · 1.2k indexed · h-index 23

Impact in

  • Oncology top 5%
    • Pancreatic and Hepatic Oncology Research
    • Cancer Cells and Metastasis
    • Colorectal Cancer Screening and Detection
    • Cancer Immunotherapy and Biomarkers
    • Cancer Genomics and Diagnostics

Papers in

    • Pancreatic and Hepatic Oncology Research 26
    • Cancer Cells and Metastasis 10
    • Cancer Immunotherapy and Biomarkers 6

Daniel Delitto

46 papers receiving 1.2k citations

Peers

Daniel Delitto
Comparison fields: 5 of 100
  • Oncology 652
  • Cancer Research 188
  • Physiology 196
  • Immunology 126
  • Molecular Biology 408
Replace Takeshi Yokoe with:
Takeshi Yokoe Japan
Fuxiang Zhou China
Jeffrey A. Borgia United States
Michela Roberto Italy
Xiaofei Wang Japan
Pingting Zhou China
Yoshihiro Tatsumi Japan
Panagiotis J. Vlachostergios United States
Ryuichi Kita Japan
Jérôme Alexandre France
Daniel Delitto relative to Takeshi Yokoe Japan Takeshi Yokoe's profile →
Citations per field
00.5×4.1×
Takeshi Yokoe · 1×
Citations per year

Countries citing papers authored by Daniel Delitto

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Delitto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201899
2 201795
3 201584
4 201870
5 201457
6 201856
7 201653
8 201945
9 201539
10 201735
11 202033
12 201632
13 201531
14 201631
15 201630
16 201829
17 201529
18 202029
19 201628
20 201527

About Daniel Delitto

Daniel Delitto is a scholar working on Oncology, Molecular Biology, Surgery, Pulmonary and Respiratory Medicine and Cancer Research, having authored 49 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (26 papers), Cancer Cells and Metastasis (10 papers), Cancer Immunotherapy and Biomarkers (6 papers), Cancer Genomics and Diagnostics (6 papers), Gastric Cancer Management and Outcomes (5 papers), Nutrition and Health in Aging (5 papers), Cancer Research and Treatments (4 papers) and Cancer, Stress, Anesthesia, and Immune Response (4 papers). The work is most often cited by research in Oncology (652 citations), Cancer Research (188 citations), Physiology (196 citations), Immunology (126 citations) and Molecular Biology (408 citations). Daniel Delitto has collaborated with scholars based in United States, Taiwan and Germany. Frequent co-authors include José G. Treviño, Steven J. Hughes, Ryan M. Thomas, K.E. Behrns, Thomas J. George, Shannon M. Wallet, Michael H. Gerber, George A. Sarosi, Andrew R. Judge and Chen Liu. Their work appears in journals such as Cancer Research, Cancers, Journal of the American College of Surgeons, Surgery and Oncotarget.

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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