Amit T. Deshmukh

690 citations
14 papers · 542 indexed · h-index 11
Topics
Microbial Metabolic Engineering and Bioproduction (7 papers)Viral Infectious Diseases and Gene Expression in Insects (6 papers)Innovative Microfluidic and Catalytic Techniques Innovation (4 papers)
Partner nations
NetherlandsChinaGermany

In The Last Decade

Amit T. Deshmukh

14 papers receiving 538 citations

Peers

Amit T. Deshmukh
Comparison fields: 5 of 65
  • Molecular Biology 423
  • Biomedical Engineering 300
  • Computational Mechanics 53
  • Control and Systems Engineering 40
  • Mechanical Engineering 29
Replace Nico Oosterhuis with:
Nico Oosterhuis Netherlands
Mads Orla Albæk Denmark
Jaroslav Votruba Czechia
L. J. Bruce United Kingdom
Peter M. Salmon United States
Maria Cândida Reginato Facciotti Brazil
G. André Canada
Robert Puskeiler Germany
R. Luttmann Germany
Fadhel Ben Chaabane France
Amit T. Deshmukh relative to Nico Oosterhuis Netherlands Nico Oosterhuis's profile →
Citations per field
00.5×4.9×
Nico Oosterhuis · 1×
Citations per year

Countries citing papers authored by Amit T. Deshmukh

Since Specialization
Citations

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

Fields of papers citing papers by Amit T. Deshmukh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amit T. Deshmukh

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 5
2 31
3 80
4 45
5 18
6 76
7 102
8 14
9 49
10 1
11 4
12 73
13 25
14 19

About Amit T. Deshmukh

Amit T. Deshmukh is a scholar working on Applied Microbiology and Biotechnology, Pharmacology and Molecular Medicine, having authored 14 papers that have together received 542 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (7 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (4 papers). The work is most often cited by research in Biomedical Engineering (300 citations), Molecular Biology (423 citations) and Computational Mechanics (53 citations). Amit T. Deshmukh has collaborated with scholars based in Netherlands, China and Germany. Frequent co-authors include Joseph J. Heijnen, Cees Haringa, Henk Noorman, R.F. Mudde, Walter M. van Gulik, Wenjun Tang, Jianye Xia, Matthias Reuß, Ju Chu and Guan Wang. Their work appears in journals such as Journal of Chromatography A, Chemical Engineering Science and Biotechnology and Bioengineering.

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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