Kim Campbell

5.0k total citations
116 papers, 3.6k citations indexed

About

Kim Campbell is a scholar working on Plant Science, Genetics and Agronomy and Crop Science. According to data from OpenAlex, Kim Campbell has authored 116 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Plant Science, 23 papers in Genetics and 21 papers in Agronomy and Crop Science. Recurrent topics in Kim Campbell's work include Wheat and Barley Genetics and Pathology (62 papers), Genetics and Plant Breeding (44 papers) and Genetic Mapping and Diversity in Plants and Animals (19 papers). Kim Campbell is often cited by papers focused on Wheat and Barley Genetics and Pathology (62 papers), Genetics and Plant Breeding (44 papers) and Genetic Mapping and Diversity in Plants and Animals (19 papers). Kim Campbell collaborates with scholars based in United States, China and United Kingdom. Kim Campbell's co-authors include Arron H. Carter, K. K. Kidwell, Xianming Chen, Stephen S. Jones, Kevin Murphy, James A. Anderson, Craig F. Morris, Dipak K. Santra, Deborah Fox and Charles R. Maliszewski and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Kim Campbell

111 papers receiving 3.5k citations

Peers

Kim Campbell
Comparison fields: 5 of 117
  • Plant Science 2.7k
  • Genetics 907
  • Agronomy and Crop Science 589
  • Molecular Biology 535
  • Immunology 285
Replace Ian Mackay with:
Ian Mackay United Kingdom
Max F. Rothschild United States
Brant J. Bassam United States
Luc Janss Denmark
Laurence Moreau France
Gustavo Caetano-Anollés United States
CR Wilson Australia
William H. Briggs United States
Klaus Wimmers Germany
Ian Mackay United Kingdom View profile →
Citations per field, relative to Kim Campbell
Kim Campbell · 1×
Citations per year, relative to Kim Campbell
Kim Campbell · 1×

Countries citing papers authored by Kim Campbell

Since Specialization
Citations

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

Fields of papers citing papers by Kim Campbell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kim Campbell

This figure shows the co-authorship network connecting the top 25 collaborators of Kim Campbell. A scholar is included among the top collaborators of Kim Campbell 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 Kim Campbell. Kim Campbell 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
# Work Indexed citations
1 0
2 0
3 8
4 1
5 1
6 1
7 11
8 5
9 87
10 6
11 85
12 39
13
Identifying quantitative trait loci (QTL) for resistance to Fusarium crown rot (Fusarium pseudograminearum) in two spring wheat populations
1
14 7
15 50
16 67
17 9
18 51
19 5
20 291

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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