Daniel N. Clark

499 citations
16 papers · 390 · h-index 9

Impact in

  • Hepatology top 5%
    • Hepatitis C virus research
    • Hepatitis Viruses Studies and Epidemiology

Papers in

    • Hepatitis B Virus Studies 8
    • Burn Injury Management and Outcomes 1
    • Hepatitis C virus research 8

Daniel N. Clark

16 papers receiving 389 citations

Peers

Daniel N. Clark
Comparison fields: 5 of 48
  • Hepatology 174
  • Virology 32
  • Immunology 130
  • Rheumatology 92
  • Epidemiology 209
Replace Ewa Terczyńska‐Dyla with:
Ewa Terczyńska‐Dyla Denmark
Fukiko Mitsui Japan
Yuko Sekine‐Osajima Japan
Mayumi Ueyama Japan
Amy E.L. Stone United States
Yuki Nishimura‐Sakurai Japan
Thomas F. Baumert France
Karen Fitzmaurice Ireland
I Braunschweiger Germany
Sayuri Nitta Japan
Daniel N. Clark relative to Ewa Terczyńska‐Dyla Denmark Ewa Terczyńska‐Dyla's profile →
Citations per field
00.5×1.5×
Ewa Terczyńska‐Dyla · 1×
Citations per year

Countries citing papers authored by Daniel N. Clark

Since Specialization
Citations

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

Fields of papers citing papers by Daniel N. Clark

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Daniel N. Clark, 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 N. Clark Line = papers co-authored together Daniel N. Clark links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 201093
2 201568
3 201539
4 201539
5 201337
6 201227
7 201324
8 201617
9 202010
10 20218
11 20228
12 20136
13 20166
14 20126
15 20111
16 20231

About Daniel N. Clark

Daniel N. Clark is a scholar working on Epidemiology, Hepatology, Immunology, Infectious Diseases and Oncology, having authored 16 papers that have together received 390 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (8 papers), Hepatitis C virus research (8 papers), Cytokine Signaling Pathways and Interactions (4 papers), Systemic Lupus Erythematosus Research (3 papers), interferon and immune responses (2 papers), HIV Research and Treatment (2 papers), HIV/AIDS drug development and treatment (2 papers) and Burn Injury Management and Outcomes (1 paper). The work is most often cited by research in Hepatology (174 citations), Virology (32 citations), Immunology (130 citations), Rheumatology (92 citations) and Epidemiology (209 citations). Daniel N. Clark has collaborated with scholars based in United States, Israel and Brazil. Frequent co-authors include Jianming Hu, Brian D. Poole, Rafah Salloum, Timothy B. Niewold, Scott A. Jones, John E. Tavis, Ju‐Tao Guo, Xiuji Cui, Kuancheng Liu and Feng Cao. Their work appears in journals such as Journal of Virology, Viruses, Journal of Interferon & Cytokine Research, Virology Journal and Frontiers in Immunology.

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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