Helen Kado‐Fong

498 citations
15 papers · 400 indexed · h-index 10
Topics
Herpesvirus Infections and Treatments (5 papers)Neuropeptides and Animal Physiology (5 papers)Virus-based gene therapy research (4 papers)

In The Last Decade

Helen Kado‐Fong

15 papers receiving 392 citations

Peers

Helen Kado‐Fong
Comparison fields: 5 of 65
  • Molecular Biology 139
  • Oncology 89
  • Physiology 86
  • Epidemiology 81
  • Immunology 75
Replace Yves Humbert with:
Yves Humbert Switzerland
Meirav Zaks‐Zilberman United States
Pierre Tremblay Canada
Martina M. C. Diesselhoff-den Dulk Netherlands
Alex D. Colella Australia
Elizabeth J. Coleman United States
Gregory Deno United States
Anne Marmenout Belgium
Perumal Sivashanmugam United States
Suni G. Allen United States
Helen Kado‐Fong relative to Yves Humbert Switzerland Yves Humbert's profile →
Citations per field
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Yves Humbert · 1×
Citations per year

Countries citing papers authored by Helen Kado‐Fong

Since Specialization
Citations

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

Fields of papers citing papers by Helen Kado‐Fong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Helen Kado‐Fong. 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 Helen Kado‐Fong. The network helps show where Helen Kado‐Fong may publish in the future.

Co-authorship network of co-authors of Helen Kado‐Fong

This figure shows the co-authorship network connecting the top 25 collaborators of Helen Kado‐Fong. A scholar is included among the top collaborators of Helen Kado‐Fong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Helen Kado‐Fong. Helen Kado‐Fong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 4
2 15
3 7
4 10
5 8
6 10
7 17
8 5
9 42
10 29
11 112
12 7
13 15
14 15
15 104

About Helen Kado‐Fong

Helen Kado‐Fong is a scholar working on Cellular and Molecular Neuroscience, Oncology and Genetics, having authored 15 papers that have together received 400 indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (5 papers), Neuropeptides and Animal Physiology (5 papers) and Virus-based gene therapy research (4 papers). The work is most often cited by research in Immunology and Allergy (49 citations), Cellular and Molecular Neuroscience (68 citations) and Immunology (75 citations). Helen Kado‐Fong has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Jarema Kochan, Bernard Malfroy, Claude P. Gros, Renate Hellmiss, Bruno Giros, Jean-Charles Schwartz, Bernard J. Scallon, Kuo‐Sen Huang, Shirley Xin Li and David J. Maggs. Their work appears in journals such as Science, Nature Biotechnology and The Journal of 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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