Rajasekhar Neeli

644 citations
11 papers · 547 indexed · h-index 9

Rajasekhar Neeli

11 papers receiving 536 citations

Peers

Rajasekhar Neeli
Comparison fields: 5 of 53
  • Pharmacology 341
  • Inorganic Chemistry 105
  • Infectious Diseases 104
  • Computational Theory and Mathematics 80
  • Molecular Biology 344
Replace Adrian J. Dunford with:
Adrian J. Dunford United Kingdom
Yergalem T. Meharenna United States
P.M. Kells United States
Martin G. Smyth United Kingdom
Santhosh Sivaramakrishnan United States
Eachan O. Johnson United Kingdom
Robert Webster Canada
Eva Stjernschantz Netherlands
Priyadeep Bhutani India
Paul R. Ortiz de Montellano United States
Rajasekhar Neeli relative to Adrian J. Dunford United Kingdom Adrian J. Dunford's profile →
Citations per field
00.5×1.5×
Adrian J. Dunford · 1×
Citations per year

Countries citing papers authored by Rajasekhar Neeli

Since Specialization
Citations

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

Fields of papers citing papers by Rajasekhar Neeli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

11 of 11 papers shown
#Work
1 201243
2 201038
3 2008107
4 20088
5 20085
6 200764
7 200616
8 200633
9 2005107
10 200548
11 200578

About Rajasekhar Neeli

Rajasekhar Neeli is a scholar working on Pharmacology, Molecular Medicine, Infectious Diseases, Biochemistry and Spectroscopy, having authored 11 papers that have together received 547 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (6 papers), Tuberculosis Research and Epidemiology (5 papers), Biochemical and Molecular Research (3 papers), Mycobacterium research and diagnosis (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Antibiotic Resistance in Bacteria (2 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). The work is most often cited by research in Pharmacology (341 citations), Inorganic Chemistry (105 citations), Infectious Diseases (104 citations), Computational Theory and Mathematics (80 citations) and Molecular Biology (344 citations). Rajasekhar Neeli has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Andrew W. Munro, David Leys, Nigel S. Scrutton, Kirsty J. McLean, Hazel M. Girvan, Adrian J. Dunford, Olivier Roitel, Harriet E. Seward, Martin J. Warren and Andrew D. Lawrence. Their work appears in journals such as Biochemical Society Transactions, Biochemical Journal, Archives of Biochemistry and Biophysics, Journal of Biological Chemistry and FEBS Letters.

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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