Graham Henderson

1.3k total citations · 1 hit paper
13 papers, 1.1k citations indexed

About

Graham Henderson is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Graham Henderson has authored 13 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Cell Biology and 4 papers in Oncology. Recurrent topics in Graham Henderson's work include Microtubule and mitosis dynamics (5 papers), Fungal and yeast genetics research (4 papers) and 14-3-3 protein interactions (3 papers). Graham Henderson is often cited by papers focused on Microtubule and mitosis dynamics (5 papers), Fungal and yeast genetics research (4 papers) and 14-3-3 protein interactions (3 papers). Graham Henderson collaborates with scholars based in Canada, United Kingdom and Germany. Graham Henderson's co-authors include Victor Ling, Farida Sarangi, Jane Endicott, James H. Gerlach, Peter F. Juranka, Kathryn L. Deuchars, Simon P. Fricker, Nigel A. Powell, Barry A. Murrer and R. G. Buckley and has published in prestigious journals such as Nature, Nucleic Acids Research and Molecular and Cellular Biology.

In The Last Decade

Graham Henderson

12 papers receiving 1.1k citations

Hit Papers

Homology between P-glycoprotein and a bacterial haemolysi... 1986 2026 1999 2012 1986 100 200 300 400 500

Peers

Graham Henderson
Comparison fields: 5 of 88
  • Oncology 651
  • Molecular Biology 556
  • Organic Chemistry 197
  • Physiology 90
  • Genetics 90
Replace A. Trouet with:
A. Trouet Belgium
Paul D. W. Eckford Canada
Christine Jaxel France
Gera D. Eytan Israel
Frits H. Roerdink Netherlands
Christian Gege Germany
Paola Milla Italy
Jayne Gilbert Australia
Vincent Murray Australia
Nandini V. Katre United States
A. Trouet Belgium View profile →
Citations per field, relative to Graham Henderson
Graham Henderson · 1×
Citations per year, relative to Graham Henderson
Graham Henderson · 1×

Countries citing papers authored by Graham Henderson

Since Specialization
Citations

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

Fields of papers citing papers by Graham Henderson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Graham Henderson

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

All Works

13 of 13 papers shown
# Work Indexed citations
1 1
2 34
3 70
4 111
5 141
6 79
7 14
8 11
9
Homology between P-glycoprotein and a bacterial haemolysin transport protein suggests a model for multidrug resistance breakdown →
581
10 47
11 28
12 14
13 11

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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2026