Neelu Raina

450 total citations
15 papers, 271 citations indexed

About

Neelu Raina is a scholar working on Molecular Biology, Biomedical Engineering and Plant Science. According to data from OpenAlex, Neelu Raina has authored 15 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Biomedical Engineering and 3 papers in Plant Science. Recurrent topics in Neelu Raina's work include Microbial Metabolic Engineering and Bioproduction (10 papers), Biofuel production and bioconversion (10 papers) and Catalysis for Biomass Conversion (4 papers). Neelu Raina is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (10 papers), Biofuel production and bioconversion (10 papers) and Catalysis for Biomass Conversion (4 papers). Neelu Raina collaborates with scholars based in India, Thailand and Morocco. Neelu Raina's co-authors include Preeti Sharma, Kraipat Cheenkachorn, Santi Chuetor, Malinee Sriariyanun, Amit Kumar, Yugal Khajuria, Meenu Katoch, Prapakorn Tantayotai, Elizabeth Jayex Panakkal and Yu‐Shen Cheng and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Biomass and Bioenergy.

In The Last Decade

Neelu Raina

15 papers receiving 267 citations

Peers

Neelu Raina
Comparison fields: 5 of 59
  • Biomedical Engineering 160
  • Molecular Biology 99
  • Biomaterials 54
  • Food Science 40
  • Biotechnology 26
Pradeep Kumar Gandam India
Byung Hwan Um South Korea
Debjani Mitra United States
Gustavo Amaro Bittencourt Brazil
Bodjui Olivier Abo China
Boxuan Wang China
Prabhpreet Kaur Australia
Javier Ulises Hernández‐Beltrán Mexico
Ígor Severo Gonçalves Brazil
Sankar Vani India
Pradeep Kumar Gandam India View profile →
Citations per field, relative to Neelu Raina
Neelu Raina · 1×
Citations per year, relative to Neelu Raina
Neelu Raina · 1×

Countries citing papers authored by Neelu Raina

Since Specialization
Citations

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

Fields of papers citing papers by Neelu Raina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neelu Raina

This figure shows the co-authorship network connecting the top 25 collaborators of Neelu Raina. A scholar is included among the top collaborators of Neelu Raina 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 Neelu Raina. Neelu Raina is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
# Work Indexed citations
1 6
2 29
3 20
4 3
5 34
6 1
7 56
8 4
9 14
10 21
11 41
12 36
13
Alkaline pretreatment optimization for Pinus roxburghii needle biomass employing response surface methodology for bioethanol production by separate hydrolysis and cofermentation
1
14
Production of phytase from Lactobacillus paracasei strain and its probiotic profile
3
15 2

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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2026