John Ellis

1.2k total citations · 1 hit paper
10 papers, 853 citations indexed

About

John Ellis is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, John Ellis has authored 10 papers receiving a total of 853 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Plant Science and 2 papers in Genetics. Recurrent topics in John Ellis's work include Protein Structure and Dynamics (2 papers), Wheat and Barley Genetics and Pathology (2 papers) and Food composition and properties (1 paper). John Ellis is often cited by papers focused on Protein Structure and Dynamics (2 papers), Wheat and Barley Genetics and Pathology (2 papers) and Food composition and properties (1 paper). John Ellis collaborates with scholars based in United Kingdom, Mexico and Canada. John Ellis's co-authors include Jonathan Palmer, Alan H. Lazarus, John Freedman, Meera Mody and Andrew D. Hanson and has published in prestigious journals such as Nature, Science and Journal of Thrombosis and Haemostasis.

In The Last Decade

John Ellis

10 papers receiving 822 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Proteins as molecular chaperones

1987 711 citations John Ellis Nature profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
John Ellis United Kingdom	7	749	154	131	95	80	10	853
Roman Hlodan United Kingdom	8	455 0.6×	134 0.9×	116 0.9×	88 0.9×	32 0.4×	9	548
Thomas Laufen Germany	5	987 1.3×	227 1.5×	187 1.4×	175 1.8×	45 0.6×	5	1.0k
Jacob Verghese Germany	9	683 0.9×	73 0.5×	208 1.6×	59 0.6×	27 0.3×	9	859
M. Morange France	15	1.2k 1.6×	88 0.6×	213 1.6×	80 0.8×	178 2.2×	26	1.4k
Roland Russnak Canada	15	697 0.9×	27 0.2×	88 0.7×	50 0.5×	114 1.4×	18	988
Thomas Kriehuber Germany	11	608 0.8×	139 0.9×	139 1.1×	48 0.5×	41 0.5×	11	713
Rongmin Zhao Canada	18	1.4k 1.8×	166 1.1×	207 1.6×	142 1.5×	74 0.9×	28	1.7k
J. Jáuregui-Adell France	16	378 0.5×	105 0.7×	67 0.5×	58 0.6×	46 0.6×	22	655
Benette Phillips United States	14	1.1k 1.4×	34 0.2×	267 2.0×	96 1.0×	68 0.8×	20	1.3k
Alex Böhm Germany	13	556 0.7×	73 0.5×	47 0.4×	28 0.3×	230 2.9×	14	793

Countries citing papers authored by John Ellis

Since Specialization

Citations

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

Fields of papers citing papers by John Ellis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Ellis

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

All Works

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10 of 10 papers shown

1.

Mody, Meera, et al.. (2003). von Willebrand factor (VWF)-dependent human platelet activation: porcine VWF utilizes different transmembrane signaling pathways than does thrombin to activate platelets, but both require protein phosphatase function. Journal of Thrombosis and Haemostasis. 1(2). 337–346. 10 indexed citations

2.

Ellis, John. (1996). The "Bio" in Biochemistry: Protein Folding Inside and Outside the Cell. Science. 272(5267). 1448–1448. 17 indexed citations

3.

Ellis, John. (1995). The Biology of Heat Shock Proteins and Molecular Chaperones.Richard I. Morimoto , Alfred Tissieres , Costa Georgopoulos. The Quarterly Review of Biology. 70(3). 336–336. 1 indexed citations

4.

Ellis, John. (1987). Proteins as molecular chaperones. Nature. 328(6129). 378–379. 711 indexed citations breakdown →

5.

Ellis, John. (1985). Genetic engineering: Eukaryotic proteins retargetted among cell compartments. Nature. 313(6001). 353–354. 6 indexed citations

6.

Ellis, John. (1984). The cereal grain trade in the United Kingdom: the problem of cereal variety. Philosophical transactions of the Royal Society of London. Series B, Biological sciences. 304(1120). 395–407. 3 indexed citations

7.

Ellis, John. (1983). Plant biochemistry: Mobile genes of chloroplasts and the promiscuity of DNA. Nature. 304(5924). 308–309. 6 indexed citations

8.

Ellis, John. (1982). Promiscuous DNA—chloroplast genes inside plant mitochondria. Nature. 299(5885). 678–679. 89 indexed citations

9.

Ellis, John & Andrew D. Hanson. (1974). Tests for cereal yield heterosis based on germinating seeds: A warning. Euphytica. 23(1). 71–77. 1 indexed citations

10.

Ellis, John, et al.. (1973). Can Mitochondrial Complementation be Used as a Tool in Breeding Hybrid Cereals?. Nature. 241(5384). 45–47. 9 indexed citations

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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