N. Arumugam

1.9k total citations
51 papers, 1.3k citations indexed

About

N. Arumugam is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, N. Arumugam has authored 51 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Plant Science, 29 papers in Molecular Biology and 8 papers in Genetics. Recurrent topics in N. Arumugam's work include Plant tissue culture and regeneration (15 papers), Sesame and Sesamin Research (9 papers) and Photosynthetic Processes and Mechanisms (9 papers). N. Arumugam is often cited by papers focused on Plant tissue culture and regeneration (15 papers), Sesame and Sesamin Research (9 papers) and Photosynthetic Processes and Mechanisms (9 papers). N. Arumugam collaborates with scholars based in India, United States and France. N. Arumugam's co-authors include Aejaz Ahmad Dar, Deepak Pental, Vibha Gupta, Akshay K. Pradhan, Pavan Kumar Kancharla, Arundhati Mukhopadhyay, Arnab Mukhopadhyay, Pradeep Kumar Burma, Sant S. Bhojwani and Arun Jagannath and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Frontiers in Plant Science.

In The Last Decade

N. Arumugam

49 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
N. Arumugam India 20 949 768 191 92 90 51 1.3k
Kosmas Haralampidis Greece 18 890 0.9× 1.0k 1.3× 139 0.7× 49 0.5× 66 0.7× 45 1.6k
Pascaline Ullmann France 20 1.0k 1.1× 1.6k 2.1× 112 0.6× 47 0.5× 60 0.7× 26 2.2k
Eva Collakova United States 19 764 0.8× 935 1.2× 137 0.7× 44 0.5× 18 0.2× 37 1.5k
Simon Goepfert Switzerland 17 959 1.0× 1.1k 1.5× 121 0.6× 72 0.8× 26 0.3× 24 1.6k
Yonghong Hu China 16 319 0.3× 687 0.9× 62 0.3× 62 0.7× 105 1.2× 55 998
Jan Hazebroek United States 18 1.1k 1.2× 585 0.8× 120 0.6× 83 0.9× 16 0.2× 35 1.5k
Deyou Qiu China 21 644 0.7× 1.0k 1.3× 32 0.2× 53 0.6× 43 0.5× 67 1.5k
Dustin Cram Canada 12 442 0.5× 359 0.5× 132 0.7× 49 0.5× 79 0.9× 15 741
Zhengqi Fan China 15 601 0.6× 911 1.2× 35 0.2× 84 0.9× 35 0.4× 47 1.2k
Naveen C. Bisht India 22 1.2k 1.2× 1.1k 1.5× 74 0.4× 129 1.4× 21 0.2× 52 1.6k

Countries citing papers authored by N. Arumugam

Since Specialization
Citations

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

Fields of papers citing papers by N. Arumugam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. Arumugam

This figure shows the co-authorship network connecting the top 25 collaborators of N. Arumugam. A scholar is included among the top collaborators of N. Arumugam 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 N. Arumugam. N. Arumugam 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.
2.
Liu, Guowen, et al.. (2024). Phase 1 Healthy Volunteer Study of DISC-3405, a Recombinant Humanized Antibody Targeting TMPRSS6. Blood. 144(Supplement 1). 1092–1092.
3.
Sharma, Reeta, Jean‐Philippe Puyravaud, K. Muthamizh Selvan, et al.. (2024). Patterns of genetic diversity, gene flow and genetic structure of three Peninsular Indian elephant populations indicate population connectivity. Conservation Genetics. 25(6). 1175–1193. 1 indexed citations
4.
Manokari, M., N. Arumugam, Abhijit Dey, et al.. (2023). Silicon Nanoparticles Mediated In vitro Flowering and Study of Pollen Viability in Vitex negundo L.. Silicon. 15(11). 4861–4871. 5 indexed citations
5.
Arumugam, N., et al.. (2023). Enigma of recalcitrance to tissue culture in the oilseed crop Sesamum indicum L.—a review. Plant Cell Tissue and Organ Culture (PCTOC). 153(3). 489–498. 5 indexed citations
6.
7.
Dar, Aejaz Ahmad, et al.. (2019). Assessment of variability in lignan and fatty acid content in the germplasm of Sesamum indicum L.. Journal of Food Science and Technology. 56(2). 976–986. 43 indexed citations
8.
Dar, Aejaz Ahmad, et al.. (2017). The FAD2 Gene in Plants: Occurrence, Regulation, and Role. Frontiers in Plant Science. 8. 1789–1789. 209 indexed citations
9.
Dar, Aejaz Ahmad, et al.. (2017). Comparative assessment of genetic diversity in Sesamum indicum L. using RAPD and SSR markers. 3 Biotech. 7(1). 10–10. 17 indexed citations
10.
Arumugam, N., et al.. (2014). Antimicrobial activity and phytochemical screening of Cynodon dactylon and Carica papaya. 5(5). 6 indexed citations
11.
Jagannath, Arun, Indira Singh, Vibha Gupta, et al.. (2010). Eliminating expression of erucic acid-encoding loci allows the identification of “hidden” QTL contributing to oil quality fractions and oil content in Brassica juncea (Indian mustard). Theoretical and Applied Genetics. 122(6). 1091–1103. 13 indexed citations
12.
Bisht, Naveen C., Vikrant Gupta, Nirala Ramchiary, et al.. (2008). Fine mapping of loci involved with glucosinolate biosynthesis in oilseed mustard (Brassica juncea) using genomic information from allied species. Theoretical and Applied Genetics. 118(3). 413–421. 38 indexed citations
13.
Arumugam, N., Vibha Gupta, Arun Jagannath, et al.. (2007). A passage through in vitro culture leads to efficient production of marker-free transgenic plants in Brassica juncea using the Cre–loxP system. Transgenic Research. 16(6). 703–712. 25 indexed citations
14.
Verma, Jitendra Kumar, N. Arumugam, Arnab Mukhopadhyay, et al.. (2006). A new cytoplasmic male sterility system for hybrid seed production in Indian oilseed mustard Brassica juncea. Theoretical and Applied Genetics. 114(1). 93–99. 27 indexed citations
15.
Padmaja, K., N. Arumugam, Vibha Gupta, et al.. (2005). Mapping and tagging of seed coat colour and the identification of microsatellite markers for marker-assisted manipulation of the trait in Brassica juncea. Theoretical and Applied Genetics. 111(1). 8–14. 36 indexed citations
16.
Jagannath, Arun, N. Arumugam, Vibha Gupta, et al.. (2002). Development of transgenic barstar lines and identification of a male sterile (barnase)/restorer (barstar) combination for heterosis breeding in Indian oilseed mustard (Brassica juncea). Current Science. 82(1). 46–52. 39 indexed citations
17.
Arumugam, N., Arnab Mukhopadhyay, Vibha Gupta, Deepak Pental, & Akshay K. Pradhan. (1996). Synthesis of hexaploid (AABBCC) somatic hybrids: a bridging material for transfer of ‘tour’ cytoplasmic male sterility to different Brassica species. Theoretical and Applied Genetics. 92(6). 762–768. 22 indexed citations
18.
Mukhopadhyay, Arundhati, N. Arumugam, Akshay K. Pradhan, et al.. (1994). Somatic hybrids with substitution type genomic configuration TCBB for the transfer of nuclear and organelle genes from Brassica tournefortii TT to allotetraploid oilseed crop B. carinata BBCC. Theoretical and Applied Genetics. 89(1). 19–25. 14 indexed citations
19.
20.
Bhojwani, Sant S., et al.. (1989). In-Vitro Conservation of Some Endangered Plant Species of India. Indian Journal of Plant Genetic Resources. 2(2). 103–113. 3 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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