Vijay Chaikam

1.8k total citations
26 papers, 1.2k citations indexed

About

Vijay Chaikam is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Vijay Chaikam has authored 26 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Plant Science, 13 papers in Genetics and 12 papers in Molecular Biology. Recurrent topics in Vijay Chaikam's work include Genetic Mapping and Diversity in Plants and Animals (13 papers), Genetics and Plant Breeding (12 papers) and Plant tissue culture and regeneration (8 papers). Vijay Chaikam is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (13 papers), Genetics and Plant Breeding (12 papers) and Plant tissue culture and regeneration (8 papers). Vijay Chaikam collaborates with scholars based in Kenya, Mexico and United States. Vijay Chaikam's co-authors include B. M. Prasanna, Dale Karlson, Albrecht E. Melchinger, Lin Zhang, Keqiang Wu, Chunjiang Zhou, Chun Yu, Willem S. Molenaar, Leocadio Martinez and George Mahuku and has published in prestigious journals such as PLoS ONE, Genetics and Journal of Experimental Botany.

In The Last Decade

Vijay Chaikam

25 papers receiving 1.2k citations

Peers

Countries citing papers authored by Vijay Chaikam

Since Specialization

Citations

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

Fields of papers citing papers by Vijay Chaikam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vijay Chaikam

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Genetic Insights from Line × Tester analysis of Maize Lethal Necrosis testcrosses for developing multi-stress-resilient hybrids in Sub-Saharan Africa 2026 ·PLoS ONE ·(unknown), Yoseph Beyene, (unknown), (unknown), (unknown), Vijay Chaikam	0
2	Genome-wide association mapping and genomic prediction analyses reveal the genetic architecture of grain yield and agronomic traits under drought and optimum conditions in maize 2025 ·BMC Plant Biology ·(unknown), Yoseph Beyene, Vijay Chaikam, Pangirayi Tongoona, Eric Yirenkyi Danquah, Beatrice Elohor Ifie, Juan Burgueño, B. M. Prasanna, Manje Gowda	5
3	Testcross performance and combining ability of intermediate maturing drought tolerant maize inbred lines in Sub-Saharan Africa 2024 ·Frontiers in Plant Science ·(unknown), Yoseph Beyene, Vijay Chaikam, Pangirayi Tongoona, Eric Yirenkyi Danquah, Beatrice Elohor Ifie, (unknown), (unknown), B. M. Prasanna, (unknown)	2
4	Effectiveness of R1-nj Anthocyanin Marker in the Identification of In Vivo Induced Maize Haploid Embryos 2023 ·Plants ·(unknown), (unknown), (unknown), Leocadio Martinez, (unknown), Manje Gowda, B. M. Prasanna, Kanwarpal S. Dhugga, Vijay Chaikam	2
5	Discovery of genomic regions associated with grain yield and agronomic traits in Bi-parental populations of maize (Zea mays. L) Under optimum and low nitrogen conditions 2023 ·Frontiers in Genetics ·(unknown), (unknown), Vijay Chaikam, Berhanu Tadesse Ertiro, Biswanath Das, Yoseph Beyene, (unknown), Charles Spillane, B. M. Prasanna, Manje Gowda	5
6	Relationship between Grain Yield and Quality Traits under Optimum and Low-Nitrogen Stress Environments in Tropical Maize 2022 ·Agronomy ·Berhanu Tadesse Ertiro, Biswanath Das, (unknown), (unknown), Maryke Labuschagne, Mosisa Worku, Michael Olsen, Vijay Chaikam, Manje Gowda	11
7	Genome-wide association study to identify genomic regions influencing spontaneous fertility in maize haploids 2019 ·Euphytica ·Vijay Chaikam, Manje Gowda, Sudha Nair, Albrecht E. Melchinger, B. M. Prasanna	31
8	Doubled haploid technology for line development in maize: technical advances and prospects 2019 ·Theoretical and Applied Genetics ·Vijay Chaikam, Willem S. Molenaar, Albrecht E. Melchinger, B. M. Prasanna	139
9	Marker-Assisted Breeding of Improved Maternal Haploid Inducers in Maize for the Tropical/Subtropical Regions 2018 ·Frontiers in Plant Science ·Vijay Chaikam, Sudha Nair, Leocadio Martinez, (unknown), H. Friedrich Utz, Albrecht E. Melchinger, B. M. Prasanna	39
10	Forward Genetics by Sequencing EMS Variation-Induced Inbred Lines 2017 ·G3 Genes Genomes Genetics ·Charles Addo‐Quaye, (unknown), Norman B. Best, Vijay Chaikam, Ivan Baxter, Brian P. Dilkes	18
11	Dissection of a major QTL qhir1 conferring maternal haploid induction ability in maize 2017 ·Theoretical and Applied Genetics ·Sudha Nair, Willem S. Molenaar, Albrecht E. Melchinger, B. M. Prasanna, Leocadio Martinez, (unknown), Vijay Chaikam	19
12	Identification of in vivo induced maternal haploids in maize using seedling traits 2017 ·Euphytica ·Vijay Chaikam, (unknown), Leocadio Martinez, Juan Burgueño, B. M. Prasanna	25
13	Analysis of effectiveness of R1-nj anthocyanin marker for in vivo haploid identification in maize and molecular markers for predicting the inhibition of R1-nj expression 2014 ·Theoretical and Applied Genetics ·Vijay Chaikam, Sudha Nair, Raman Babu, Leocadio Martinez, (unknown), B. M. Prasanna	65
14	Characterization of temperature and light effects on the defense response phenotypes associated with the maize Rp1-D21autoactive resistance gene 2013 ·BMC Plant Biology ·(unknown), Guan‐Feng Wang, (unknown), Cromwell Mwiti Kibiti, Vijay Chaikam, Gurmukh S. Johal, Peter Balint‐Kurti	40
15	Doubled haploid technology in maize breeding: theory and practice 2012 ·B. M. Prasanna, Vijay Chaikam, George Mahuku	100
16	Use of mutant-assisted gene identification and characterization (MAGIC) to identify novel genetic loci that modify the maize hypersensitive response 2011 ·Theoretical and Applied Genetics ·Vijay Chaikam, (unknown), Rahul Dhawan, (unknown), Jiabing Ji, Satya Chintamanani, Emma W. Gachomo, (unknown), Timothy J. Doran, (unknown), Peter Balint‐Kurti, Gurmukh S. Johal	23
17	Comparison of structure, function and regulation of plant cold shock domain proteins to bacterial and animal cold shock domain proteins 2010 ·BMB Reports ·Vijay Chaikam, Dale Karlson	52
18	Response and transcriptional regulation of rice SUMOylation system during development and stress conditions 2010 ·BMB Reports ·Vijay Chaikam, Dale Karlson	38
19	HDA6 is required for jasmonate response, senescence and flowering in Arabidopsis 2008 ·Journal of Experimental Botany ·Keqiang Wu, Lin Zhang, Chunjiang Zhou, Chun Yu, Vijay Chaikam	251
20	Functional characterization of two cold shock domain proteins from Oryza sativa 2008 ·Plant Cell & Environment ·Vijay Chaikam, Dale Karlson	81

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.

Explore authors with similar magnitude of impact