Ramlakhan Verma

584 total citations
29 papers, 237 citations indexed

About

Ramlakhan Verma is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Ramlakhan Verma has authored 29 papers receiving a total of 237 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Plant Science, 11 papers in Genetics and 6 papers in Molecular Biology. Recurrent topics in Ramlakhan Verma's work include Rice Cultivation and Yield Improvement (15 papers), Genetic Mapping and Diversity in Plants and Animals (11 papers) and GABA and Rice Research (9 papers). Ramlakhan Verma is often cited by papers focused on Rice Cultivation and Yield Improvement (15 papers), Genetic Mapping and Diversity in Plants and Animals (11 papers) and GABA and Rice Research (9 papers). Ramlakhan Verma collaborates with scholars based in India, France and Australia. Ramlakhan Verma's co-authors include Sanghamitra Samantaray, Jawahar Lal Katara, Onkar Singh, Umakanta Ngangkham, Khirod Kumar Sahoo, Onkar Singh, Mridul Chakraborti, Suresh Prasad Singh, Arup Mukherjee and C. Parameswaran and has published in prestigious journals such as International Journal of Molecular Sciences, Frontiers in Microbiology and Frontiers in Plant Science.

In The Last Decade

Ramlakhan Verma

23 papers receiving 217 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ramlakhan Verma India 10 201 85 73 7 6 29 237
Luchang Ming China 4 186 0.9× 88 1.0× 78 1.1× 4 0.6× 5 0.8× 7 223
Xuming Yin China 8 263 1.3× 137 1.6× 55 0.8× 5 0.7× 5 0.8× 11 290
Chung Duc Vietnam 7 306 1.5× 77 0.9× 103 1.4× 4 0.6× 4 0.7× 8 321
Fabio Gómez-Cano United States 9 176 0.9× 118 1.4× 43 0.6× 5 0.7× 3 0.5× 14 230
Yuekun Ren China 5 282 1.4× 152 1.8× 65 0.9× 3 0.4× 3 0.5× 6 298
Zhuang Xu China 6 374 1.9× 127 1.5× 73 1.0× 3 0.4× 5 0.8× 10 418
Wuhan Zhang China 6 256 1.3× 93 1.1× 107 1.5× 12 1.7× 5 0.8× 16 272
Rajeshwari Ramanan India 7 277 1.4× 115 1.4× 33 0.5× 4 0.6× 4 0.7× 8 291
Xianjun Wu China 8 217 1.1× 84 1.0× 22 0.3× 11 1.6× 7 1.2× 12 246
Liling Peng China 8 250 1.2× 64 0.8× 48 0.7× 3 0.4× 3 0.5× 13 268

Countries citing papers authored by Ramlakhan Verma

Since Specialization
Citations

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

Fields of papers citing papers by Ramlakhan Verma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramlakhan Verma

This figure shows the co-authorship network connecting the top 25 collaborators of Ramlakhan Verma. A scholar is included among the top collaborators of Ramlakhan Verma 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 Ramlakhan Verma. Ramlakhan Verma 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.
Katiyar, Sanjay, Lekha T. Pazhamala, Jérôme Bartholomé, et al.. (2025). Accelerated breeding modernization: a global blueprint for driving genetic gains, climate resilience, and food security in rice. Theoretical and Applied Genetics. 138(12). 293–293.
2.
Verma, Ramlakhan, Jawahar Lal Katara, Arup Mukherjee, et al.. (2025). Efficiency of doubled haploid technology in mining of multiple BB resistance genes from indica rice hybrid. Cereal Research Communications. 53(3). 1319–1331.
3.
Bohra, Abhishek, et al.. (2025). Past and future of cytoplasmic male sterility and heterosis breeding in crop plants. Plant Cell Reports. 44(2). 33–33. 4 indexed citations
4.
5.
Parameswaran, C., et al.. (2024). Marker-trait association of the major pyruvate pathway genes regulating yield related traits in rice (Oryza sativa L.). Indian Journal of Genetics and Plant Breeding (The). 84(3). 329–335. 1 indexed citations
6.
Parameswaran, C., et al.. (2024). Principal Component Analysis of Grain Yield and its Attributing Traits in Recombinant Inbred Lines of Rice (Oryza sativa L.) Developed for Submergence Tolerance. International Journal of Plant & Soil Science. 36(2). 143–148. 2 indexed citations
7.
Das, Sankar Prasad, Burhan U. Choudhury, Amit Kumar, et al.. (2024). Advances in genomic tools for plant breeding: harnessing DNA molecular markers, genomic selection, and genome editing. Biological Research. 57(1). 80–80. 37 indexed citations
8.
Kumar, Manish, P. K. Singh, Sanghamitra Samantaray, et al.. (2023). Marker-Assisted Improvement for Durable Bacterial Blight Resistance in Aromatic Rice Cultivar HUR 917 Popular in Eastern Parts of India. Plants. 12(6). 1363–1363. 7 indexed citations
9.
Malviya, Deepti, P. K. Singh, Udai B. Singh, et al.. (2023). Arbuscular mycorrhizal fungi-mediated activation of plant defense responses in direct seeded rice (Oryza sativa L.) against root-knot nematode Meloidogyne graminicola. Frontiers in Microbiology. 14. 1104490–1104490. 7 indexed citations
10.
Singh, Devendra, Bisnu Prasad Dash, C. Parameswaran, et al.. (2023). Discrimination of haploids and doubled haploids/diploids in indica rice: correlation of morphological indicators with molecular markers. Biologia Plantarum. 67. 294–302.
11.
Verma, Ramlakhan, et al.. (2022). Efficacy and Safety of LigaSure in Laparoscopic Sutureless Appendectomy. Cureus. 14(5). e24764–e24764. 3 indexed citations
12.
13.
Katara, Jawahar Lal, et al.. (2021). Genomics assisted breeding: The need and current perspective for rice improvement in India. ORYZA- An International Journal on Rice. 58(Special). 61–68. 10 indexed citations
14.
Katara, Jawahar Lal, et al.. (2020). Anther Culture Efficiency in Quality Hybrid Rice: A Comparison between Hybrid Rice and Its Ratooned Plants. Plants. 9(10). 1306–1306. 12 indexed citations
15.
Singh, Onkar, et al.. (2019). Generation mean analysis for bacterial blight resistance and yield traits in rice. Journal of Pharmacognosy and Phytochemistry. 8(2). 221–225. 5 indexed citations
16.
Kumar, Manish, Onkar Singh, P. K. Singh, et al.. (2019). Genetic analysis for bacterial blight resistance in indica rice (Oryza sativa L.) cultivars. ORYZA- An International Journal on Rice. 56(3). 247–255. 6 indexed citations
17.
Verma, Ramlakhan, et al.. (2019). INHERITANCE OF BLAST DISEASE RESISTANCE IN THE CROSS HUR 3022 X TETEP OF RICE (Oryza sativa L.). Journal of Experimental Biology and Agricultural Sciences. 7(6). 529–535. 3 indexed citations
18.
Katara, Jawahar Lal, Ramlakhan Verma, Umakanta Ngangkham, et al.. (2017). Frequency and fertility restoration efficiency of Rf3 and Rf4 genes in Indian rice. Plant Breeding. 136(1). 74–82. 10 indexed citations
19.
Verma, Ramlakhan, Suresh Prasad Singh, P. K. Singh, et al.. (2017). Genetic purity assessment of indica rice hybrids through DNA fingerprinting and grow out test. Journal of Environmental Biology. 38(6). 1321–3131. 10 indexed citations
20.
Rao, G. J. N., Ramlakhan Verma, Jawahar Lal Katara, et al.. (2016). Phenotypic and Marker-Assisted Genetic Enhancement of Parental Lines of Rajalaxmi, an Elite Rice Hybrid. Frontiers in Plant Science. 7. 1005–1005. 19 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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