Niharika Niharika

805 citations
53 papers · 498 · h-index 13

Impact in

    • Plant Stress Responses and Tolerance
    • Smart Agriculture and AI
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Epigenetics and DNA Methylation 9
    • RNA modifications and cancer 5
    • Plant Stress Responses and Tolerance 5
    • Plant Parasitism and Resistance 4
    • Allelopathy and phytotoxic interactions 4
    • Smart Agriculture and AI 4

Niharika Niharika

46 papers receiving 493 citations

Peers

Niharika Niharika
Comparison fields: 5 of 111
  • Plant Science 147
  • Cancer Research 39
  • Pollution 31
  • Materials Chemistry 125
  • Molecular Biology 124
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Didi Liu China
Romi Singh Maharjan Germany
Yini Zhang China
Falak Sher Khan Pakistan
Shivam Priya India
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Citations per field
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Citations per year

Countries citing papers authored by Niharika Niharika

Since Specialization
Citations

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

Fields of papers citing papers by Niharika Niharika

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Niharika Niharika, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Niharika Niharika Line = papers co-authored together Niharika Niharika links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202258
2 202048
3 202243
4 202236
5 202034
6 202227
7 201622
8 202416
9 202316
10 202116
11 202114
12 202213
13 202313
14 202312
15 202411
16 202110
17 20249
18 20239
19 20238
20 20218

About Niharika Niharika

Niharika Niharika is a scholar working on Molecular Biology, Plant Science, Materials Chemistry, Cancer Research and Computer Vision and Pattern Recognition, having authored 53 papers that have together received 498 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (9 papers), Nanoparticles: synthesis and applications (5 papers), Plant Stress Responses and Tolerance (5 papers), RNA modifications and cancer (5 papers), Plant Parasitism and Resistance (4 papers), Allelopathy and phytotoxic interactions (4 papers), Smart Agriculture and AI (4 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Plant Science (147 citations), Cancer Research (39 citations), Pollution (31 citations), Materials Chemistry (125 citations) and Molecular Biology (124 citations). Niharika Niharika has collaborated with scholars based in India, United States and Portugal. Frequent co-authors include N. B. Singh, Shubhra Khare, Ajey Singh, Ravi Kumar Yadav, Nimisha Amist, Samir Kumar Patra, Vijaya Yadav, Rishabh Sharma, Vinay Kukreja and Chanda Bano. Their work appears in journals such as Progress in molecular biology and translational science, Applied Biochemistry and Biotechnology, Computers in Biology and Medicine, Cancer Letters and PeerJ Computer Science.

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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