James McInnes

23 papers receiving 419 citations

Peers

James McInnes
Comparison fields: 5 of 74
  • Endocrinology 99
  • Biotechnology 66
  • Plant Science 179
  • Molecular Biology 255
  • Immunology 72
Replace D. R. Hewish with:
D. R. Hewish Australia
L. F. Ellis United States
Adam S. Inglis Australia
James M. D'Alessio United States
M. Véron France
Larry E. Bockstahler United States
Xiaoyou Liang United States
Estelle Garénaux France
Dvora Sudakevitz Israel
Sadhna Joshi Canada
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Citations per field
00.5×2.6×
D. R. Hewish · 1×
Citations per year

Countries citing papers authored by James McInnes

Since Specialization
Citations

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

Fields of papers citing papers by James McInnes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198591
2 197268
3 197539
4 197638
5 198735
6 198535
7 198929
8
Deficient natural killer cell activity in a patient with Fanconi's anaemia and squamous cell carcinoma. Association with defect in interferon release.
198229
9 197329
10 198720
11 197520
12 199814
13 199013
14 197110
15 19779
16 20028
17 19977
18 19774
19 19773
20 19783

About James McInnes

James McInnes is a scholar working on Molecular Biology, Endocrinology, Immunology, Oncology and Plant Science, having authored 24 papers that have together received 509 indexed citations. Recurring topics across this work include Plant Virus Research Studies (4 papers), Plant and Fungal Interactions Research (3 papers), Bacterial Genetics and Biotechnology (3 papers), RNA and protein synthesis mechanisms (3 papers), HIV/AIDS drug development and treatment (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Endocrinology (99 citations), Biotechnology (66 citations), Plant Science (179 citations), Molecular Biology (255 citations) and Immunology (72 citations). James McInnes has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include Robert H. Symons, Sidney Pestka, William H. Elliott, Brian K. May, G W Both, Nuredin Habili, Cheryl Hutchins, Jane E. Visvader, Peter D. Rathjen and Peter N. Graves. Their work appears in journals such as Biochemical and Biophysical Research Communications, Archives of Biochemistry and Biophysics, Proceedings of the National Academy of Sciences, Journal of Molecular Biology and Annals of the New York Academy of Sciences.

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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