Daniel G. Chen

663 citations
8 papers · 340 · 1 hit paper · h-index 5

Impact in

Papers in

    • Lipid metabolism and biosynthesis 2
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 2

Daniel G. Chen

8 papers receiving 332 citations

Daniel G. Chen's Hit Papers

Cardiac Tumors 2020 · 275 citations
2750+2+4Years since publication50100150200250

Peers

Daniel G. Chen
Comparison fields: 5 of 35
  • Cardiology and Cardiovascular Medicine 242
  • Genetics 33
  • Surgery 115
  • Internal Medicine 8
  • Hematology 25
Replace Fotios A. Mitropoulos with:
Fotios A. Mitropoulos Greece
Raila Ehlers Germany
Hui‐Li Gan China
Nawsad Saleh Sweden
Francesco Vigorito Italy
Patrick Nierlich Austria
Kenichi Watanabe Japan
Shuai Zhu China
Emmanuel Boiffard France
Mitsuhiro Yano Japan
Daniel G. Chen relative to Fotios A. Mitropoulos Greece Fotios A. Mitropoulos's profile →
Citations per field
00.5×2×4×6.1×
Fotios A. Mitropoulos · 1×
Citations per year

Countries citing papers authored by Daniel G. Chen

Since Specialization
Citations

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

Fields of papers citing papers by Daniel G. Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1
Cardiac Tumors
Hit paper breakdown →
2020275
2 201431
3 201710
4 20209
5 20235
6 20204
7 20164
8 20242

About Daniel G. Chen

Daniel G. Chen is a scholar working on Biochemistry, Genetics, Immunology, Pharmacy and Epidemiology, having authored 8 papers that have together received 340 indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (2 papers), Trypanosoma species research and implications (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Mast cells and histamine (1 paper), Multiple Myeloma Research and Treatments (1 paper), Cardiovascular Effects of Exercise (1 paper), CAR-T cell therapy research (1 paper) and Enzyme Catalysis and Immobilization (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (242 citations), Genetics (33 citations), Surgery (115 citations), Internal Medicine (8 citations) and Hematology (25 citations). Daniel G. Chen has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Sara Tyebally, Zeeshan Gulam Hussain, Charlotte Manisty, Mark A. Westwood, Arjun Kumar Ghosh, Avirup Guha, Sanjeev Bhattacharyya, Abdallah Mughrabi, Ronald Hoffman and John Roboz. Their work appears in journals such as Surgical Endoscopy, Experimental Hematology, JACC CardioOncology, Current Problems in Surgery and Blood.

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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