Akash Jain

1.5k citations
66 papers · 1.2k · h-index 17

Impact in

Papers in

Akash Jain

56 papers receiving 1.1k citations

Peers

Akash Jain
Comparison fields: 5 of 119
  • Filtration and Separation 118
  • Molecular Medicine 179
  • Applied Microbiology and Biotechnology 52
  • Pharmaceutical Science 137
  • Pharmacology 225
Replace Jignasa Savjani with:
Jignasa Savjani India
Ketan T. Savjani India
J.H. Perrin United States
Richard J. Prankerd Australia
Paweł Wiczling Poland
Jiřı́ Klimeš Czechia
Robert E. Notari United States
H. Fabre France
Tsukinaka Yamana Japan
Georgia Valsami Greece
Akash Jain relative to Jignasa Savjani India Jignasa Savjani's profile →
Citations per field
00.5×10×13×
Jignasa Savjani · 1×
Citations per year

Countries citing papers authored by Akash Jain

Since Specialization
Citations

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

Fields of papers citing papers by Akash Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004152
2
A Comprehensive Review on Biological Activities of P-Hydroxy Benzoic Acid and Its Derivatives
2013128
3 2006122
4 200487
5 200871
6 201860
7 202256
8 200455
9 201151
10 201939
11 202033
12 201932
13 200727
14 200423
15 202022
16
Assay of FK 506 in plasma.
199020
17 201417
18 202213
19 20219
20 20229

About Akash Jain

Akash Jain is a scholar working on Pharmacology, Epidemiology, Organic Chemistry, Molecular Medicine and Molecular Biology, having authored 66 papers that have together received 1.2k indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (11 papers), Antibiotic Resistance in Bacteria (11 papers), Computational Drug Discovery Methods (8 papers), Urinary Tract Infections Management (7 papers), Natural Antidiabetic Agents Studies (5 papers), Chemical Thermodynamics and Molecular Structure (4 papers), Bioactive natural compounds (4 papers) and Drug Solubulity and Delivery Systems (4 papers). The work is most often cited by research in Filtration and Separation (118 citations), Molecular Medicine (179 citations), Applied Microbiology and Biotechnology (52 citations), Pharmaceutical Science (137 citations) and Pharmacology (225 citations). Akash Jain has collaborated with scholars based in India, United States and Spain. Frequent co-authors include Samuel H. Yalkowsky, Gang Yang, Yingqing Ran, Michael J. Pucci, Luke Utley, Thomas Parr, Ian A. Critchley, Ashwani K. Dhingra, Vijay Kumar and Bhawna Chopra. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Industrial & Engineering Chemistry Research, AAPS PharmSciTech, Open Forum Infectious Diseases and Journal of Pharmaceutical Sciences.

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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