Neha Niharika

542 citations
15 papers · 329 · h-index 11

Impact in

Papers in

    • Genomics and Phylogenetic Studies 10
    • Identification and Quantification in Food 2
    • Polyamine Metabolism and Applications 2
    • Microbial Community Ecology and Physiology 5
    • Bacteriophages and microbial interactions 2

Neha Niharika

13 papers receiving 324 citations

Peers

Neha Niharika
Comparison fields: 5 of 51
  • Pollution 99
  • Health, Toxicology and Mutagenesis 80
  • Ecology 148
  • Molecular Biology 185
  • Biotechnology 23
Replace Pushp Lata with:
Pushp Lata India
Simran Jit India
M.-Mar González-Pérez Spain
Т. З. Есикова Russia
Ken W. K. Lau Hong Kong
Minoru Shimura Japan
Basilio Zafrilla Spain
Gesine Wisse Canada
V. V. Kochetkov Russia
Hong‐Jun Chao China
Neha Niharika relative to Pushp Lata India Pushp Lata's profile →
Citations per field
00.5×1.5×2.4×
Pushp Lata · 1×
Citations per year

Countries citing papers authored by Neha Niharika

Since Specialization
Citations

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

Fields of papers citing papers by Neha Niharika

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Neha 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 Neha Niharika Line = papers co-authored together Neha Niharika links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 201083
2 201238
3 201635
4 201235
5 201225
6 201223
7 201223
8 201320
9 201515
10 201312
11 201211
12 20126
13 20143
14 20100
15 20150

About Neha Niharika

Neha Niharika is a scholar working on Molecular Biology, Ecology, Plant Science, Pollution and Health, Toxicology and Mutagenesis, having authored 15 papers that have together received 329 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (10 papers), Microbial Community Ecology and Physiology (5 papers), Microbial bioremediation and biosurfactants (3 papers), Bacteriophages and microbial interactions (2 papers), Toxic Organic Pollutants Impact (2 papers), Identification and Quantification in Food (2 papers), Polyamine Metabolism and Applications (2 papers) and Infections and bacterial resistance (1 paper). The work is most often cited by research in Pollution (99 citations), Health, Toxicology and Mutagenesis (80 citations), Ecology (148 citations), Molecular Biology (185 citations) and Biotechnology (23 citations). Neha Niharika has collaborated with scholars based in India, Czechia and Switzerland. Frequent co-authors include Rup Lal, Jasvinder Kaur, Swati Jindal, Pushp Lata, Aleš Hampl, Naseer Sangwan, Miroslava Sedláčková, Nidhi Garg, Jiřı́ Damborský and Zbyněk Prokop. Their work appears in journals such as INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Biodegradation, Journal of Bacteriology, Environmental Science and Pollution Research and Indian Journal of Microbiology.

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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