Subodh Kumar Sinha

1.2k total citations
81 papers, 790 citations indexed

About

Subodh Kumar Sinha is a scholar working on Plant Science, Agronomy and Crop Science and Soil Science. According to data from OpenAlex, Subodh Kumar Sinha has authored 81 papers receiving a total of 790 indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Plant Science, 15 papers in Agronomy and Crop Science and 10 papers in Soil Science. Recurrent topics in Subodh Kumar Sinha's work include Plant nutrient uptake and metabolism (19 papers), Rice Cultivation and Yield Improvement (14 papers) and Legume Nitrogen Fixing Symbiosis (13 papers). Subodh Kumar Sinha is often cited by papers focused on Plant nutrient uptake and metabolism (19 papers), Rice Cultivation and Yield Improvement (14 papers) and Legume Nitrogen Fixing Symbiosis (13 papers). Subodh Kumar Sinha collaborates with scholars based in India, China and United States. Subodh Kumar Sinha's co-authors include Pranab Kumar Mandal, Manju Rani, Karnam Venkatesh, Amresh Kumar, V. Sureshkumar, Nidhi Nidhi, T. V. R. Nair, Saurabh Chaudhary, Punit Tyagi and Vipin Kumar and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Subodh Kumar Sinha

75 papers receiving 747 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Subodh Kumar Sinha India 15 677 159 107 101 48 81 790
Ruineng Xu China 10 595 0.9× 160 1.0× 58 0.5× 76 0.8× 29 0.6× 14 664
Muhammad Saeed Pakistan 14 548 0.8× 137 0.9× 111 1.0× 154 1.5× 32 0.7× 74 759
Emmanuel Arnhold Brazil 11 241 0.4× 103 0.6× 48 0.4× 45 0.4× 19 0.4× 92 465
Jelena Marinković Serbia 11 570 0.8× 74 0.5× 50 0.5× 146 1.4× 27 0.6× 52 691
Ali Topal Türkiye 13 469 0.7× 163 1.0× 70 0.7× 59 0.6× 25 0.5× 41 549
Weibing Yang China 12 511 0.8× 301 1.9× 71 0.7× 96 1.0× 22 0.5× 35 613
M. A. Malik Pakistan 11 250 0.4× 76 0.5× 98 0.9× 134 1.3× 16 0.3× 40 378
Kamrun Nahar Bangladesh 15 1.1k 1.6× 83 0.5× 95 0.9× 107 1.1× 65 1.4× 47 1.2k
C L L Gowda India 15 596 0.9× 149 0.9× 36 0.3× 74 0.7× 72 1.5× 46 697
Aildson Pereira Duarte Brazil 16 433 0.6× 251 1.6× 233 2.2× 59 0.6× 20 0.4× 58 599

Countries citing papers authored by Subodh Kumar Sinha

Since Specialization
Citations

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

Fields of papers citing papers by Subodh Kumar Sinha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Subodh Kumar Sinha. 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 Subodh Kumar Sinha. The network helps show where Subodh Kumar Sinha may publish in the future.

Co-authorship network of co-authors of Subodh Kumar Sinha

This figure shows the co-authorship network connecting the top 25 collaborators of Subodh Kumar Sinha. A scholar is included among the top collaborators of Subodh Kumar Sinha 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 Subodh Kumar Sinha. Subodh Kumar Sinha 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.
Pandey, Shivam, et al.. (2025). Molecular insights into diabetic wound healing: Focus on Wnt/β-catenin and MAPK/ERK signaling pathways. Cytokine. 191. 156957–156957. 8 indexed citations
2.
Pradhan, Bhubaneswar, Subodh Kumar Sinha, Biplab Sarkar, et al.. (2024). Spatio-temporal expression of polyphenol oxidase unveils the dynamics of L-DOPA accumulation in faba bean (Vicia faba L.). Physiology and Molecular Biology of Plants. 30(5). 839–850. 2 indexed citations
3.
Aski, Muraleedhar S., Gyan P. Mishra, Anirban Roy, et al.. (2024). Genome-wide association mapping of biochemical traits and its correlation with MYMIV resistance in mungbean (Vigna radiata L. Wilczek). Scientific Reports. 14(1). 31805–31805.
4.
Paul, Debajyoti, et al.. (2023). Nitrogen Assimilation and Fractionation Dynamics in Wheat Genotypes Grown in Different Mediums. Journal of Plant Growth Regulation. 42(12). 7435–7451. 1 indexed citations
5.
Mishra, Gyan P., Harsh Kumar Dikshit, Dwijesh Chandra Mishra, et al.. (2021). Comparative RNA-Seq analysis unfolds a complex regulatory network imparting yellow mosaic disease resistance in mungbean [Vigna radiata (L.) R. Wilczek]. PLoS ONE. 16(1). e0244593–e0244593. 31 indexed citations
6.
Sinha, Subodh Kumar, et al.. (2021). Comparative Analysis of GS2 and Fd-GOGAT Genes in Cultivated Wheat and Their Progenitors Under N Stress. Plant Molecular Biology Reporter. 39(3). 520–545. 10 indexed citations
7.
Venkatesh, Karnam, et al.. (2021). Molecular Characterization of GS2 and Fd-GOGAT Homeologues and Their Biased Response to Nitrogen Stress in Bread Wheat (Triticum aestivum L.). Journal of Plant Growth Regulation. 41(6). 2555–2569. 7 indexed citations
8.
10.
Sinha, Subodh Kumar, et al.. (2013). Antioxidant activities of different tissue extract of faba bean (Vicia faba L.) containing phenolic compounds.. Legume Research - An International Journal. 36(6). 496–504. 8 indexed citations
11.
Das, S. R., et al.. (2010). Variation in streptomycin-induced bleaching and dark induced senescence of rice (Oryza sativa) genotypes and their relationship with yield and adaptability. Journal of Plant Breeding and Crop Science. 2(6). 139–147. 3 indexed citations
12.
Singh, Dheer, et al.. (2006). Nutrient (NPK) uptake influenced by integrated nutrient management in spring planted sugarcane grown in sugarcane based cropping sequence. 56(9). 67–72. 1 indexed citations
13.
Sinha, Subodh Kumar & Ranjit Kumar Sahu. (2002). Inheritance of resistance to bacterial blight (Xanthomonas oryzae pv. oryzae) in rice (Oryza sativa L.). Indian Journal of Genetics and Plant Breeding (The). 62(2). 116–117. 1 indexed citations
14.
Sinha, Subodh Kumar. (2002). Tiller phenology and grain yield of lowland rice (Oryza saliva) varieties under different water depths. The Indian Journal of Agricultural Sciences. 72(5). 285–287. 1 indexed citations
16.
Singh, Surendra, et al.. (2000). Yield, S Uptake and Oil Content of Niger as Influenced by Applied Sulphur on Acidic Soils of Bihar Plateau. Journal of the Indian Society of Soil Science. 48(1). 121–124. 2 indexed citations
17.
Rao, Deepak & Subodh Kumar Sinha. (1990). Influence of leaf area on maintenance of water potential in sorghum (Sorghum bicolor) hybrid ('CSH 6') and its parents under limited soil volume condition.. The Indian Journal of Agricultural Sciences. 60(8). 533–535. 1 indexed citations
18.
Sinha, Subodh Kumar. (1977). Food legumes : distribution, adaptability and biology of yield. Food and Agriculture Organization of the United Nations eBooks. 72 indexed citations
19.
Sinha, Subodh Kumar. (1974). Yield of grain legumes: problems and prospects. Indian Journal of Genetics and Plant Breeding (The). 34. 988–994. 13 indexed citations
20.
Sinha, Subodh Kumar & T. V. R. Nair. (1968). Studies on the variability of cyanogenic glucoside content in cassava tubers.. The Indian Journal of Agricultural Sciences. 38. 958–963. 20 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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