Lingaraja Jena

528 total citations
38 papers, 373 citations indexed

About

Lingaraja Jena is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Lingaraja Jena has authored 38 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 14 papers in Infectious Diseases and 14 papers in Epidemiology. Recurrent topics in Lingaraja Jena's work include Tuberculosis Research and Epidemiology (12 papers), Computational Drug Discovery Methods (12 papers) and vaccines and immunoinformatics approaches (10 papers). Lingaraja Jena is often cited by papers focused on Tuberculosis Research and Epidemiology (12 papers), Computational Drug Discovery Methods (12 papers) and vaccines and immunoinformatics approaches (10 papers). Lingaraja Jena collaborates with scholars based in India and United States. Lingaraja Jena's co-authors include Satish Kumar, Maheswata Sahoo, B. C. Harinath, Ashok K. Varma, Satish Kumar, Ritu Gupta, Manorama Patri, Gurvinder Kaur, Lata Rani and Anubha Gupta and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Biomolecular Structure and Dynamics.

In The Last Decade

Lingaraja Jena

34 papers receiving 355 citations

Peers

Lingaraja Jena
Comparison fields: 5 of 86
  • Molecular Biology 178
  • Infectious Diseases 105
  • Epidemiology 87
  • Computational Theory and Mathematics 57
  • Public Health, Environmental and Occupational Health 44
Replace Tanjim Ishraq Rahaman with:
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Rayapadi G. Swetha India
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Kerstin Lange‐Grünweller Germany
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Citations per field, relative to Lingaraja Jena
Lingaraja Jena · 1×
Citations per year, relative to Lingaraja Jena
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Countries citing papers authored by Lingaraja Jena

Since Specialization
Citations

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

Fields of papers citing papers by Lingaraja Jena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingaraja Jena

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 5
2
Characterizing the mutational landscape of MM and its precursor MGUS.
4
3 17
4 4
5 10
6 3
7 12
8 6
9 48
10
Phylogenetic Analysis of H1N1 Proteins for Understanding Its Allocation
1
11 2
12 17
13 12
14 46
15
Exploiting nanoparticle for targeted apoptosis as therapeutic modality against filarial parasite: A plausible premise
2
16
Effect of single amino acid mutations on function of Mycobacterium tuberculosis H37RV and H37RA by computational approaches.
1
17 14
18
In silico Structural Prediction of E6 and E7 Proteins of Human Papillomavirus Strains by Comparative Modeling
0
19 1
20 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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