Hilary Vaughan

1.1k citations
24 papers · 926 indexed · h-index 16
Topics
Monoclonal and Polyclonal Antibodies Research (9 papers)Immunotherapy and Immune Responses (8 papers)Glycosylation and Glycoproteins Research (7 papers)

In The Last Decade

Hilary Vaughan

23 papers receiving 905 citations

Peers

Hilary Vaughan
Comparison fields: 5 of 67
  • Immunology 527
  • Molecular Biology 404
  • Surgery 245
  • Oncology 178
  • Genetics 165
Replace Shunji Ogata with:
Shunji Ogata Japan
L. D. Shultz United States
Marian L. Birkeland United States
Lena Claesson Sweden
Pascal Chaux France
Suzanne Salvi Switzerland
Phillip A. Morton United States
Bent Rubin France
Peisha Yan United States
Zoltan A. Nagy Germany
Hilary Vaughan relative to Shunji Ogata Japan Shunji Ogata's profile →
Citations per field
00.5×3.3×
Shunji Ogata · 1×
Citations per year

Countries citing papers authored by Hilary Vaughan

Since Specialization
Citations

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

Fields of papers citing papers by Hilary Vaughan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hilary Vaughan

This figure shows the co-authorship network connecting the top 25 collaborators of Hilary Vaughan. A scholar is included among the top collaborators of Hilary Vaughan 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 Hilary Vaughan. Hilary Vaughan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 29
2 0
3 12
4 88
5 51
6
The humoral immune response to head and neck cancer antigens as defined by the serological analysis of tumor antigens by recombinant cDNA expression cloning.
23
7 154
8 16
9 19
10 52
11 34
12 31
13 89
14 45
15 6
16 1
17 4
18 3
19 35
20 13

About Hilary Vaughan

Hilary Vaughan is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Virology, having authored 24 papers that have together received 926 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (9 papers), Immunotherapy and Immune Responses (8 papers) and Glycosylation and Glycoproteins Research (7 papers). The work is most often cited by research in Immunology (527 citations), Radiology, Nuclear Medicine and Imaging (152 citations) and Oncology (178 citations). Hilary Vaughan has collaborated with scholars based in Australia, United States and Switzerland. Frequent co-authors include Mauro S. Sandrin, Ian F. C. McKenzie, Bruce E. Loveland, Pei‐Xiang Xing, Jonathan Cebon, Geoffrey A. Pietersz, Vaios Karanikas, Paul Mitchell, Anne Zhao and Julie Milland. Their work appears in journals such as The Journal of Immunology, Clinical Cancer Research and PLoS Biology.

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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