B. Dharma Rao

716 citations
43 papers · 532 indexed · h-index 13
Topics
Machine Learning in Bioinformatics (7 papers)Extraction and Separation Processes (4 papers)Metal Extraction and Bioleaching (4 papers)
Journals
SHILAP Revista de lepidopterologíaAnalytical ChemistryClinical Infectious Diseases
Partner nations
IndiaChinaUnited States

In The Last Decade

B. Dharma Rao

42 papers receiving 516 citations

Peers

B. Dharma Rao
Comparison fields: 5 of 96
  • Molecular Biology 245
  • Biomedical Engineering 80
  • Mechanical Engineering 78
  • Computational Theory and Mathematics 63
  • Water Science and Technology 63
Replace Manas Ranjan Barik with:
Manas Ranjan Barik India
Chandra Kant Singh India
Ivana Morić Serbia
A. Stucki Switzerland
Majid Zeinali Iran
Tingli Sun China
Antresh Kumar India
Kunio Atsumi Japan
Yuejuan Zhang China
Rakesh Rakesh India
B. Dharma Rao relative to Manas Ranjan Barik India Manas Ranjan Barik's profile →
Citations per field
00.5×10×20×30×39×
Manas Ranjan Barik · 1×
Citations per year

Countries citing papers authored by B. Dharma Rao

Since Specialization
Citations

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

Fields of papers citing papers by B. Dharma Rao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by B. Dharma Rao. 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 B. Dharma Rao. The network helps show where B. Dharma Rao may publish in the future.

Co-authorship network of co-authors of B. Dharma Rao

This figure shows the co-authorship network connecting the top 25 collaborators of B. Dharma Rao. A scholar is included among the top collaborators of B. Dharma Rao 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 B. Dharma Rao. B. Dharma Rao 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
#WorkIndexed citations
1 10
2 15
3 5
4 1
5 2
6 30
7 44
8 60
9 8
10 144
11 12
12 9
13 1
14 2
15 3
16 3
17 1
18 26
19 14
20 6

About B. Dharma Rao

B. Dharma Rao is a scholar working on Microbiology, Clinical Biochemistry and Molecular Medicine, having authored 43 papers that have together received 532 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (7 papers), Extraction and Separation Processes (4 papers) and Metal Extraction and Bioleaching (4 papers). The work is most often cited by research in Microbiology (13 citations), Microbiology (51 citations) and Molecular Medicine (24 citations). B. Dharma Rao has collaborated with scholars based in India, China and United States. Frequent co-authors include Guoying Zhang, Ran Su, Leyi Wei, Chen Zhou, H Thadepalli, Luzheng Chen, Xiaosong Tian, Lichao Zhang, Jizhong Wu and Rao Prabhala. Their work appears in journals such as SHILAP Revista de lepidopterología, Analytical Chemistry and Clinical Infectious Diseases.

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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