C. M. Deom

3.5k total citations · 1 hit paper
68 papers, 2.7k citations indexed

About

C. M. Deom is a scholar working on Plant Science, Molecular Biology and Endocrinology. According to data from OpenAlex, C. M. Deom has authored 68 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Plant Science, 14 papers in Molecular Biology and 11 papers in Endocrinology. Recurrent topics in C. M. Deom's work include Plant Virus Research Studies (54 papers), Peanut Plant Research Studies (16 papers) and Plant tissue culture and regeneration (12 papers). C. M. Deom is often cited by papers focused on Plant Virus Research Studies (54 papers), Peanut Plant Research Studies (16 papers) and Plant tissue culture and regeneration (12 papers). C. M. Deom collaborates with scholars based in United States, Uganda and Kenya. C. M. Deom's co-authors include Roger N. Beachy, William J. Lucas, Shmuel Wolf, Melvin J. Oliver, Moshe Lapidot, R. A. Naidu, J. L. Sherwood, Curtis A. Holt, David Kalule Okello and Irene T. Schulze and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

C. M. Deom

68 papers receiving 2.5k citations

Hit Papers

Movement Protein of Tobacco Mosaic Virus Modifies Plasmod... 1989 2026 2001 2013 1989 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. M. Deom United States 26 2.3k 668 454 361 244 68 2.7k
I. Barker United Kingdom 30 2.7k 1.1× 501 0.8× 135 0.3× 717 2.0× 223 0.9× 85 3.3k
R. M. Harding Australia 34 2.7k 1.1× 1.3k 1.9× 452 1.0× 529 1.5× 156 0.6× 112 3.1k
J. L. Dale Australia 37 3.7k 1.6× 1.8k 2.7× 610 1.3× 741 2.1× 215 0.9× 165 4.4k
Johannes Fütterer Switzerland 29 1.8k 0.7× 1.4k 2.1× 405 0.9× 332 0.9× 121 0.5× 52 2.3k
María Pla Spain 37 1.6k 0.7× 2.2k 3.2× 731 1.6× 111 0.3× 150 0.6× 88 3.2k
Emanuela Noris Italy 27 2.1k 0.9× 679 1.0× 428 0.9× 431 1.2× 98 0.4× 71 2.4k
Jana Žel Slovenia 32 1.7k 0.7× 1.9k 2.8× 176 0.4× 113 0.3× 195 0.8× 87 2.9k
D. Boscia Italy 33 3.2k 1.4× 385 0.6× 152 0.3× 603 1.7× 421 1.7× 141 3.6k
Robert J. Shepherd United States 32 2.9k 1.2× 1.2k 1.7× 591 1.3× 729 2.0× 413 1.7× 92 3.4k
María José Díez Spain 28 2.2k 0.9× 581 0.9× 54 0.1× 141 0.4× 39 0.2× 108 2.7k

Countries citing papers authored by C. M. Deom

Since Specialization
Citations

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

Fields of papers citing papers by C. M. Deom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. M. Deom. 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 C. M. Deom. The network helps show where C. M. Deom may publish in the future.

Co-authorship network of co-authors of C. M. Deom

This figure shows the co-authorship network connecting the top 25 collaborators of C. M. Deom. A scholar is included among the top collaborators of C. M. Deom 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 C. M. Deom. C. M. Deom 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
1.
Foncéka, Daniel, Josh Clevenger, Prasad Bajaj, et al.. (2023). Genome-wide association studies reveal novel loci for resistance to groundnut rosette disease in the African core groundnut collection. Theoretical and Applied Genetics. 136(3). 35–35. 10 indexed citations
2.
Deom, C. M., Magdy Alabady, & Li Yang. (2021). Early transcriptome changes induced by the Geminivirus C4 oncoprotein: setting the stage for oncogenesis. BMC Genomics. 22(1). 147–147. 3 indexed citations
3.
Deom, C. M., Marin T. Brewer, & Paul M. Severns. (2021). Positive selection and intrinsic disorder are associated with multifunctional C4(AC4) proteins and geminivirus diversification. Scientific Reports. 11(1). 11150–11150. 11 indexed citations
4.
Brannen, Phillip M., C. M. Deom, Olufemi J. Alabi, & R. A. Naidu. (2018). Prevalence of Viruses in Commercial Wine Grape Vineyards in Georgia. Plant Health Progress. 19(4). 342–346. 9 indexed citations
5.
Okello, David Kalule, Michael Adrogu Ugen, Phinehas Tukamuhabwa, et al.. (2017). Molecular diagnostics of groundnut rosette disease agents in Uganda: Implications on epidemiology and management of groundnut rosette disease. Journal of Plant Breeding and Crop Science. 9(5). 63–70. 7 indexed citations
6.
Okello, David Kalule, M. Biruma, & C. M. Deom. (2010). Overview of groundnuts research in Uganda: Past, present and future. AFRICAN JOURNAL OF BIOTECHNOLOGY. 9(39). 6448–6459. 58 indexed citations
7.
Nelson, Richard S., et al.. (2008). The methyltransferase domain of the 1a protein of cowpea chlorotic mottle virus controls local and systemic accumulation in cowpea. Archives of Virology. 153(8). 1505–1516. 1 indexed citations
8.
Naidu, R. A., C. M. Deom, & J. L. Sherwood. (2005). Expansion of the Host Range of Impatiens necrotic spot virus to Peppers. Plant Health Progress. 6(1). 8 indexed citations
10.
Pappu, S. S., Alangar Ishwara Bhat, H. R. Pappu, C. M. Deom, & A. K. Culbreath. (2000). Phylogenetic studies of tospoviruses (Family: Bunyaviridae) based on intergenic region sequences of small and medium genomic RNAs. Archives of Virology. 145(5). 1035–1045. 30 indexed citations
11.
Bhat, Alangar Ishwara, S. S. Pappu, H. R. Pappu, C. M. Deom, & A. K. Culbreath. (1999). Analysis of the intergenic region of tomato spotted wilt Tospovirus medium RNA segment. Virus Research. 61(2). 161–170. 6 indexed citations
12.
13.
Quan, Sheng, et al.. (1996). Completion of the nucleotide sequence of sunn-hemp mosaic virus: A tobamovirus pathogenic to legumes. Virus Genes. 13(1). 83–85. 16 indexed citations
14.
Giesman-Cookmeyer, D., et al.. (1995). Tobamovirus and Dianthovirus Movement Proteins Are Functionally Homologous. Virology. 213(1). 38–45. 58 indexed citations
15.
Clark, W. G., J H Fitchen, Ali Nejidat, C. M. Deom, & Roger N. Beachy. (1995). Studies of coat protein-mediated resistance to tobacco mosaic virus (TMV). II. Challenge by a mutant with altered virion surface does not overcome resistance conferred by TMV coat protein. Journal of General Virology. 76(10). 2613–2617. 16 indexed citations
17.
Deom, C. M., Moshe Lapidot, & Roger N. Beachy. (1992). Plant virus movement proteins. Cell. 69(2). 221–224. 165 indexed citations
18.
Gafny, Ron, Moshe Lapidot, Anne Berna, et al.. (1992). Effects of terminal deletion mutations on function of the movement protein of tobacco mosaic virus. Virology. 187(2). 499–507. 63 indexed citations
19.
Deom, C. M., Shmuel Wolf, Curtis A. Holt, William J. Lucas, & Roger N. Beachy. (1991). Altered function of the tobacco mosaic virus movement protein in a hypersensitive host. Virology. 180(1). 251–256. 54 indexed citations
20.
Sleat, David E., Daniel Gallie, John W. Watts, et al.. (1988). Selective recovery of foreign gene transcripts as virus-like particles in TMV-infected transgenic tobaccos. Nucleic Acids Research. 16(8). 3127–3140. 25 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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