Sunita Varjani

29.7k citations
328 papers · 20.8k indexed · 12 hit papers · h-index 75

Sunita Varjani

327 papers receiving 20.4k citations

Hit Papers

Microbiological insights into ana...2492016202620192022250500750

Peers

Sunita Varjani
Comparison fields: 5 of 184
  • Pollution 6.3k
  • Industrial and Manufacturing Engineering 3.2k
  • Water Science and Technology 3.2k
  • Renewable Energy, Sustainability and the Environment 2.9k
  • Building and Construction 1.9k
Replace Su Shiung Lam with:
Su Shiung Lam Malaysia
Byong‐Hun Jeon South Korea
Ajit K. Sarmah New Zealand
Eilhann E. Kwon South Korea
Soon Woong Chang South Korea
Deyi Hou China
Satinder Kaur Brar Canada
Eric D. van Hullebusch France
Mukesh Kumar Awasthi China
Zhenya Zhang Japan
Sunita Varjani relative to Su Shiung Lam Malaysia Su Shiung Lam's profile →
Citations per field
00.5×1.5×
Su Shiung Lam · 1×
Citations per year

Countries citing papers authored by Sunita Varjani

Since Specialization
Citations

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

Fields of papers citing papers by Sunita Varjani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 20249
3 20243
4 20244
5 20236
6 202341
7 202310
8 202320
9 202327
10 2022137
11 202234
12 202264
13 20211
14 2021117
15 202128
16 202154
17 202168
18 202074
19
Culture Based Approaches, Dependent and Independent, for Microbial Community Fractions in Petroleum Oil Reservoirs
20185
20 2015183

About Sunita Varjani

Sunita Varjani is a scholar working on Pollution, Industrial and Manufacturing Engineering and Renewable Energy, Sustainability and the Environment, having authored 328 papers that have together received 20.8k indexed citations. Recurring topics across this work include Biofuel production and bioconversion (45 papers), Microbial bioremediation and biosurfactants (44 papers), Algal biology and biofuel production (41 papers), Anaerobic Digestion and Biogas Production (39 papers), Microbial Metabolic Engineering and Bioproduction (31 papers), Microbial Fuel Cells and Bioremediation (30 papers), Municipal Solid Waste Management (25 papers) and Recycling and Waste Management Techniques (23 papers). The work is most often cited by research in Pollution (6.3k citations), Industrial and Manufacturing Engineering (3.2k citations) and Water Science and Technology (3.2k citations). Sunita Varjani has collaborated with scholars based in India, South Korea and China. Frequent co-authors include Vivek N. Upasani, P. Senthil Kumar, P.R. Yaashikaa, A. Saravanan, Ashok Pandey, Huu Hao Ngo, Jonathan W.C. Wong, Wenshan Guo, Edgard Gnansounou and Jo‐Shu Chang. Their work appears in journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and The Science of The Total Environment.

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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