James Heather

3.7k citations
57 papers · 1.9k indexed · 1 hit paper · h-index 19

James Heather

54 papers receiving 1.8k citations

Hit Papers

The sequence of sequencers: The history of sequencing DNA6992015202620182022200400600

Peers

James Heather
Comparison fields: 5 of 147
  • Immunology 573
  • Virology 64
  • Molecular Biology 766
  • Oncology 265
  • Artificial Intelligence 294
Replace Olli Lassila with:
Olli Lassila Finland
Gargi Dasgupta United States
Étienne Gagnon Canada
Fernando Gómez Spain
Ivan Merelli Italy
Anitha Kannan United States
Carl Taswell United States
Barend Mons Netherlands
Wei Jin China
Xiaoying Jia United States
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Citations per field
00.5×3.5×
Olli Lassila · 1×
Citations per year

Countries citing papers authored by James Heather

Since Specialization
Citations

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

Fields of papers citing papers by James Heather

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202413
2 202218
3 202117
4 202051
5 202037
6 201995
7 20199
8 20188
9 201827
10 201717
11 201662
12
Faster print on demand for Prêt à Voter
20141
13
Testing Voters' Understanding of a Security Mechanism Used in Verifiable Voting
20134
14 20136
15
Using Prêt à Voter in Victorian state elections
20128
16
Authentication codes
20111
17 201139
18 201021
19
Analysis, improvement and simplification of Prêt à voter with Paillier encryption
200813
20
Tear and Destroy: Chain voting and destruction problems shared by Pret a Voter and Punchscan and a solution using Visual Encryption
20071

About James Heather

James Heather is a scholar working on Immunology, Virology, Artificial Intelligence, Oncology and Computer Networks and Communications, having authored 57 papers that have together received 1.9k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (17 papers), Immune Cell Function and Interaction (15 papers), Cryptography and Data Security (14 papers), Internet Traffic Analysis and Secure E-voting (13 papers), CAR-T cell therapy research (9 papers), User Authentication and Security Systems (7 papers), Advanced Authentication Protocols Security (6 papers) and HIV Research and Treatment (5 papers). The work is most often cited by research in Immunology (573 citations), Virology (64 citations), Molecular Biology (766 citations), Oncology (265 citations) and Artificial Intelligence (294 citations). James Heather has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Benny Chain, Steve Schneider, Theres Oakes, Gavin Lowe, John Shawe‐Taylor, Katharine Best, Mazlina Ismail, Zhe Xia, Niclas Thomas and Peter Y. A. Ryan. Their work appears in journals such as Frontiers in Immunology, Bioinformatics, The Journal of Immunology, Scientific Reports and Journal of Computer Security.

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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