Cameron G. Williams

1.0k citations
5 papers · 466 indexed · 1 hit paper · h-index 3
Topics
Single-cell and spatial transcriptomics (5 papers)Immune cells in cancer (3 papers)Immune Cell Function and Interaction (2 papers)

In The Last Decade

Cameron G. Williams

4 papers receiving 461 citations

Hit Papers

An introduction to spatial transcriptomics for biomedical...20222026202320242022100200300400

Peers

Cameron G. Williams
Comparison fields: 5 of 82
  • Molecular Biology 322
  • Immunology 119
  • Cancer Research 80
  • Oncology 64
  • Biophysics 41
Replace Takahiro Asatsuma with:
Takahiro Asatsuma Australia
Vince Carey United States
Sophia Müller‐Dott Germany
Anne Senabouth Australia
Lambda Moses United States
Jana M. Braunger Germany
Annick Waldt Switzerland
Veronika R. Kedlian United Kingdom
Alev Baysoy United States
Jayson Harshbarger Japan
Cameron G. Williams relative to Takahiro Asatsuma Australia Takahiro Asatsuma's profile →
Citations per field
00.5×1.5×1.9×
Takahiro Asatsuma · 1×
Citations per year

Countries citing papers authored by Cameron G. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Cameron G. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cameron G. Williams. 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 Cameron G. Williams. The network helps show where Cameron G. Williams may publish in the future.

Co-authorship network of co-authors of Cameron G. Williams

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

All Works

5 of 5 papers shown
#WorkIndexed citations
1 0
2 35
3
An introduction to spatial transcriptomics for biomedical researchbreakdown →
418
4 1
5 12

About Cameron G. Williams

Cameron G. Williams is a scholar working on Immunology, Molecular Biology and Infectious Diseases, having authored 5 papers that have together received 466 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Immune cells in cancer (3 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Biophysics (41 citations), Immunology (119 citations) and Cancer Research (80 citations). Cameron G. Williams has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Ashraful Haque, Hyun Jae Lee, Takahiro Asatsuma, Roser Vento‐Tormo, Laura K. Mackay, Joanna R. Groom, Bhupinder Pal, Graham Starkey, Rohit D’Costa and Luke C. Gandolfo. Their work appears in journals such as Nature Communications, The Journal of Immunology and Genome Medicine.

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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