T. Panda

3.6k citations
130 papers · 3.1k · h-index 31

Impact in

Papers in

    • Microbial Metabolic Engineering and Bioproduction 33
    • Enzyme Catalysis and Immobilization 22
    • Studies on Chitinases and Chitosanases 12
    • Biofuel production and bioconversion 57

T. Panda

127 papers receiving 2.9k citations

Peers

T. Panda
Comparison fields: 5 of 125
  • Biotechnology 949
  • Filtration and Separation 83
  • Biomedical Engineering 1.2k
  • Plant Science 886
  • Nutrition and Dietetics 313
Replace R.K. Saxena with:
R.K. Saxena India
Arbakariya B. Ariff Malaysia
N. G. Karanth India
Gorete Ribeiro de Macêdo Brazil
Nádia Krieger Brazil
Laxmi Ananthanarayan India
Marcelo Franco Brazil
Z̆ivko L. Nikolov United States
Jianan Sun China
Yun Deng China
T. Panda relative to R.K. Saxena India R.K. Saxena's profile →
Citations per field
00.5×1.5×1.9×
R.K. Saxena · 1×
Citations per year

Countries citing papers authored by T. Panda

Since Specialization
Citations

This map shows the geographic impact of T. Panda'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 T. Panda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Panda more than expected).

Fields of papers citing papers by T. Panda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 130 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003276
2 2005252
3 1999164
4 1998105
5 200098
6 200392
7 199989
8 201488
9 199782
10 200079
11 200078
12 198777
13 199869
14 200062
15 200356
16 199952
17 200047
18 198442
19 199240
20 201140

About T. Panda

T. Panda is a scholar working on Molecular Biology, Biomedical Engineering, Biotechnology, Plant Science and Nutrition and Dietetics, having authored 130 papers that have together received 3.1k indexed citations. Recurring topics across this work include Biofuel production and bioconversion (57 papers), Enzyme Production and Characterization (38 papers), Microbial Metabolic Engineering and Bioproduction (33 papers), Enzyme Catalysis and Immobilization (22 papers), Polysaccharides and Plant Cell Walls (16 papers), Studies on Chitinases and Chitosanases (12 papers), Microbial Metabolism and Applications (11 papers) and Microbial Metabolites in Food Biotechnology (11 papers). The work is most often cited by research in Biotechnology (949 citations), Filtration and Separation (83 citations), Biomedical Engineering (1.2k citations), Plant Science (886 citations) and Nutrition and Dietetics (313 citations). T. Panda has collaborated with scholars based in India, South Korea and Austria. Frequent co-authors include P. Arthur Felse, G. S. N. Naidu, Sathyanarayana N. Gummadi, B. S. Gowrishankar, Mohammad Pazouki, Veeranki Venkata Dasu, K. Deepa, Jayanta Sinha, Sudip Kumar Rakshit and A. Kapat. Their work appears in journals such as Bioprocess and Biosystems Engineering, Process Biochemistry, Journal of Nanoscience and Nanotechnology, Enzyme and Microbial Technology and Biochemical Engineering Journal.

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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