H.-G. Guo

1.4k citations
12 papers · 1.2k · h-index 11

Impact in

  • Virology top 1%
    • HIV Research and Treatment
    • HIV/AIDS drug development and treatment
    • Parvovirus B19 Infection Studies

Papers in

    • HIV Research and Treatment 6
    • HIV/AIDS drug development and treatment 3
    • HIV/AIDS Research and Interventions 2

H.-G. Guo

12 papers receiving 1.2k citations

Peers

H.-G. Guo
Comparison fields: 5 of 53
  • Virology 536
  • Infectious Diseases 456
  • Oncology 572
  • Epidemiology 507
  • Immunology 295
Replace Robin A. Weiss with:
Robin A. Weiss United Kingdom
P. D. Markham United States
Robert C. Gallo United States
Jamie Wilson United Kingdom
Lawrence A. Falk United States
Linda Tan United Kingdom
Don Ganem United States
D M Ciufo United States
Rolf Vornhagen Germany
R Redfield United States
H.-G. Guo relative to Robin A. Weiss United Kingdom Robin A. Weiss's profile →
Citations per field
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Robin A. Weiss · 1×
Citations per year

Countries citing papers authored by H.-G. Guo

Since Specialization
Citations

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

Fields of papers citing papers by H.-G. Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H.-G. Guo. 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 H.-G. Guo. The network helps show where H.-G. Guo may publish in the future.

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 1997337
2 1987270
3 1998132
4 1997123
5 1988118
6 1988106
7 199069
8 198633
9 199214
10 198613
11 199312
12 19921

About H.-G. Guo

H.-G. Guo is a scholar working on Virology, Infectious Diseases, Immunology, Agronomy and Crop Science and Oncology, having authored 12 papers that have together received 1.2k indexed citations. Recurring topics across this work include HIV Research and Treatment (6 papers), T-cell and Retrovirus Studies (5 papers), Viral-associated cancers and disorders (4 papers), HIV/AIDS drug development and treatment (3 papers), Animal Disease Management and Epidemiology (3 papers), Vector-Borne Animal Diseases (3 papers), HIV/AIDS Research and Interventions (2 papers) and Cytomegalovirus and herpesvirus research (2 papers). The work is most often cited by research in Virology (536 citations), Infectious Diseases (456 citations), Oncology (572 citations), Epidemiology (507 citations) and Immunology (295 citations). H.-G. Guo has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include M S Reitz, Genoveffa Franchini, Enrico Collalti, D M Ciufo, John Nicholas, Corrado Gurgo, Flossie Wong‐Staal, LEOTA HALL, Kathleen Fargnoli and Gail Hayward. Their work appears in journals such as Journal of Clinical Investigation, AIDS Research and Human Retroviruses, Virology, Nature Medicine and JNCI Monographs.

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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