Daniel Byrd

522 citations
17 papers · 437 · h-index 12

Impact in

  • Virology top 5%
    • HIV Research and Treatment
    • Poxvirus research and outbreaks
    • Complement system in diseases
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • interferon and immune responses

Papers in

    • HIV Research and Treatment 7
    • Poxvirus research and outbreaks 2
    • Complement system in diseases 3
    • Immunotherapy and Immune Responses 2
    • Immune Cell Function and Interaction 1

Daniel Byrd

17 papers receiving 434 citations

Peers

Daniel Byrd
Comparison fields: 5 of 47
  • Virology 119
  • Immunology 139
  • Hepatology 32
  • Genetics 79
  • Microbiology 14
Replace Rachel E. Owen with:
Rachel E. Owen United States
Johanna Maria Eberhard Germany
Soe Than United States
Anselmo Jiro Kamada Brazil
Stefan Baenziger Switzerland
Ajith Mathew Joseph United States
Cecilia Svanholm Sweden
Monte S. Meltzer United States
Xiaomi Xin Japan
Costin Tomescu United States
Daniel Byrd relative to Rachel E. Owen United States Rachel E. Owen's profile →
Citations per field
00.5×2×3×4×4.7×
Rachel E. Owen · 1×
Citations per year

Countries citing papers authored by Daniel Byrd

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Byrd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2020101
2 201146
3 200938
4 201635
5 201432
6 201430
7 201129
8 201428
9 201320
10 201318
11 201418
12 201514
13 20169
14 20169
15 20148
16 20101
17 20131

About Daniel Byrd

Daniel Byrd is a scholar working on Virology, Immunology, Hepatology, Microbiology and Physiology, having authored 17 papers that have together received 437 indexed citations. Recurring topics across this work include HIV Research and Treatment (7 papers), Hepatitis C virus research (3 papers), Complement system in diseases (3 papers), Immunotherapy and Immune Responses (2 papers), Poxvirus research and outbreaks (2 papers), Reproductive tract infections research (1 paper), Virus-based gene therapy research (1 paper) and Immune Cell Function and Interaction (1 paper). The work is most often cited by research in Virology (119 citations), Immunology (139 citations), Hepatology (32 citations), Genetics (79 citations) and Microbiology (14 citations). Daniel Byrd has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Qigui Yu, Tohti Amet, Ningjie Hu, Weizhou Hou, Stephen H. Thorne, Padma Sampath, Yi Zhang, Feng Li, Yuqiao Sheng and Jie Lan. Their work appears in journals such as PLoS ONE, Journal of Virology, The Journal of Immunology, AIDS Research and Human Retroviruses and Hepatology.

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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