N. C. Subrahmanyam

745 citations
37 papers · 516 indexed · h-index 14
Topics
Chromosomal and Genetic Variations (19 papers)Plant tissue culture and regeneration (15 papers)Plant Disease Resistance and Genetics (8 papers)
Partner nations
IndiaAustraliaCanada

In The Last Decade

N. C. Subrahmanyam

33 papers receiving 448 citations

Peers

N. C. Subrahmanyam
Comparison fields: 5 of 36
  • Plant Science 471
  • Molecular Biology 297
  • Ecology, Evolution, Behavior and Systematics 72
  • Genetics 70
  • Cell Biology 21
Replace Dieter Mettin with:
Dieter Mettin Germany
L. A. Sitch Hungary
Peter Engstr�m Sweden
L. Przywara Poland
Jennifer E. Klenz Canada
Ichizo Nishiyama Japan
Sandra Giancola France
A. Fominaya Spain
Hangning Zhang United States
Andrea Seres Hungary
N. C. Subrahmanyam relative to Dieter Mettin Germany Dieter Mettin's profile →
Citations per field
00.5×1.7×
Dieter Mettin · 1×
Citations per year

Countries citing papers authored by N. C. Subrahmanyam

Since Specialization
Citations

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

Fields of papers citing papers by N. C. Subrahmanyam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. C. Subrahmanyam

This figure shows the co-authorship network connecting the top 25 collaborators of N. C. Subrahmanyam. A scholar is included among the top collaborators of N. C. Subrahmanyam 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. C. Subrahmanyam. N. C. Subrahmanyam 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
#WorkIndexed citations
1 0
2 12
3 0
4 1
5 5
6 9
7 13
8 2
9 29
10 0
11 1
12 24
13 8
14 29
15 9
16 13
17 36
18 15
19 22
20 14

About N. C. Subrahmanyam

N. C. Subrahmanyam is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics, having authored 37 papers that have together received 516 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (19 papers), Plant tissue culture and regeneration (15 papers) and Plant Disease Resistance and Genetics (8 papers). The work is most often cited by research in Plant Science (471 citations), Molecular Biology (297 citations) and Ecology, Evolution, Behavior and Systematics (72 citations). N. C. Subrahmanyam has collaborated with scholars based in India, Australia and Canada. Frequent co-authors include K. J. Kasha, Roland von Bothmer, Ahmed A. Azad, Chintamani D. Atreya, R. Appels, M. K. Reddy, R. F. Eastwood, Evans Lagudah, Odile Moullet and Francis C. Ogbonnaya. Their work appears in journals such as Environmental Science & Technology, Journal of Theoretical Biology and Theoretical and Applied Genetics.

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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