N. D. Havis

2.1k citations
64 papers · 1.4k indexed · 1 hit paper · h-index 20
Topics
Plant Pathogens and Fungal Diseases (28 papers)Wheat and Barley Genetics and Pathology (27 papers)Plant Disease Resistance and Genetics (13 papers)

In The Last Decade

N. D. Havis

62 papers receiving 1.3k citations

Hit Papers

Controlling crop diseases using induced resistance: chall...20132026201720212013100200300400

Peers

N. D. Havis
Comparison fields: 5 of 61
  • Plant Science 1.3k
  • Cell Biology 484
  • Molecular Biology 238
  • Ecology, Evolution, Behavior and Systematics 208
  • Insect Science 93
Replace Roberto Buonaurio with:
Roberto Buonaurio Italy
Yasuhiro Ishiga Japan
Romain Berruyer France
Chiaraluce Moretti Italy
Claudine Balagué France
Jessica M. Koczan United States
Didier Aldon France
Seonghee Lee United States
Geun Cheol Song South Korea
Qassim Esmaeel France
N. D. Havis relative to Roberto Buonaurio Italy Roberto Buonaurio's profile →
Citations per field
00.5×2.8×
Roberto Buonaurio · 1×
Citations per year

Countries citing papers authored by N. D. Havis

Since Specialization
Citations

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

Fields of papers citing papers by N. D. Havis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N. D. Havis. 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 N. D. Havis. The network helps show where N. D. Havis may publish in the future.

Co-authorship network of co-authors of N. D. Havis

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 1
4 34
5 6
6 8
7
Proceedings Crop Production in Northern Britain 2020
2
8 4
9
Controlling Ramularia leaf spot in barley crops.
2
10 3
11 36
12 26
13 2
14
Controlling crop diseases using induced resistance: challenges for the futurebreakdown →
450
15 35
16 1
17 28
18 73
19 6
20 53

About N. D. Havis

N. D. Havis is a scholar working on Cell Biology, Plant Science and Ecology, Evolution, Behavior and Systematics, having authored 64 papers that have together received 1.4k indexed citations. Recurring topics across this work include Plant Pathogens and Fungal Diseases (28 papers), Wheat and Barley Genetics and Pathology (27 papers) and Plant Disease Resistance and Genetics (13 papers). The work is most often cited by research in Plant Science (1.3k citations), Cell Biology (484 citations) and Horticulture (13 citations). N. D. Havis has collaborated with scholars based in United Kingdom, Germany and Denmark. Frequent co-authors include Dale R. Walters, S. J. P. Oxley, David J. Walsh, Linda Paterson, Jeanette Taylor, James Fountaine, James K. M. Brown, Lindsay Paterson, David J. Robins and Stephen Langrell. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Journal of Experimental Botany and Frontiers in Plant Science.

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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