Ajit Sadana

2.9k citations
128 papers · 2.1k indexed · h-index 20
Topics
Monoclonal and Polyclonal Antibodies Research (41 papers)Advanced Biosensing Techniques and Applications (27 papers)Protein purification and stability (26 papers)

In The Last Decade

Ajit Sadana

126 papers receiving 2.0k citations

Peers

Ajit Sadana
Comparison fields: 5 of 116
  • Molecular Biology 1.3k
  • Biomedical Engineering 570
  • Materials Chemistry 357
  • Electrical and Electronic Engineering 335
  • Radiology, Nuclear Medicine and Imaging 322
Replace M.‐R. Kula with:
M.‐R. Kula Germany
Michael Schulte Germany
Juan M. Bolívar Spain
Chi‐Bun Ching Singapore
M.S. Thakur India
Alexander M. Klibanov United States
Xuejun Cao China
Alex Fragoso Spain
Feng Peng China
Ajit Sadana relative to M.‐R. Kula Germany M.‐R. Kula's profile →
Citations per field
00.5×1.5×2.0×
M.‐R. Kula · 1×
Citations per year

Countries citing papers authored by Ajit Sadana

Since Specialization
Citations

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

Fields of papers citing papers by Ajit Sadana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ajit Sadana

This figure shows the co-authorship network connecting the top 25 collaborators of Ajit Sadana. A scholar is included among the top collaborators of Ajit Sadana 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 Ajit Sadana. Ajit Sadana 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 1
2 2
3 8
4 8
5 7
6 12
7 3
8 7
9 16
10 9
11 6
12 3
13
Bioseparation of proteins : unfolding/folding and validations
9
14 8
15
Efficiency and economics of bioseparation: some case studies.
41
16 53
17 19
18 14
19 60
20 10

About Ajit Sadana

Ajit Sadana is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Electrochemistry, having authored 128 papers that have together received 2.1k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (41 papers), Advanced Biosensing Techniques and Applications (27 papers) and Protein purification and stability (26 papers). The work is most often cited by research in Biotechnology (197 citations), Molecular Biology (1.3k citations) and Filtration and Separation (32 citations). Ajit Sadana has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include James P. Henley, James R. Katzer, Tuan Vo‐Dinh, Arun Malhotra, Octave Levenspiel, B. D. Kulkarni, P.A. Ramachandran, Sunil Mathur, Yongqiang Tan and Jean Pierre Alarie. Their work appears in journals such as Chemical Reviews, Analytical Biochemistry and Journal of Colloid and Interface Science.

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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