Pavan Muttil

1.8k citations
48 papers · 1.5k · h-index 23

Impact in

Papers in

Pavan Muttil

44 papers receiving 1.4k citations

Peers

Pavan Muttil
Comparison fields: 5 of 112
  • Pharmaceutical Science 406
  • Pulmonary and Respiratory Medicine 765
  • Infectious Diseases 313
  • Epidemiology 384
  • Molecular Medicine 47
Replace Nitesh K. Kunda with:
Nitesh K. Kunda United States
Lucila Garcia‐Contreras United States
Amit Misra India
Sharad Mangal Australia
Willem Andreas Germishuizen United Kingdom
Andrea Civra Italy
Philip J. Kuehl United States
John Gar Yan Chan Australia
P. Bernard Fourie South Africa
Alexander B. Mullen United Kingdom
Pavan Muttil relative to Nitesh K. Kunda United States Nitesh K. Kunda's profile →
Citations per field
00.5×6.1×
Nitesh K. Kunda · 1×
Citations per year

Countries citing papers authored by Pavan Muttil

Since Specialization
Citations

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

Fields of papers citing papers by Pavan Muttil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007151
2 2009123
3 2008117
4 200782
5 200864
6 201062
7 201558
8 201056
9 201753
10 201952
11 201648
12 201046
13 201843
14 201342
15 201833
16
Inhalable microparticles containing isoniazid and rifabutin target macrophages and 'stimulate the phagocyte' to achieve high efficacy.
200933
17 201032
18 201232
19 201529
20 201628

About Pavan Muttil

Pavan Muttil is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology, Infectious Diseases, Pharmaceutical Science and Ecology, having authored 48 papers that have together received 1.5k indexed citations. Recurring topics across this work include Inhalation and Respiratory Drug Delivery (28 papers), Tuberculosis Research and Epidemiology (9 papers), Pneumonia and Respiratory Infections (8 papers), Advanced Drug Delivery Systems (7 papers), Cervical Cancer and HPV Research (6 papers), Bacteriophages and microbial interactions (5 papers), Microencapsulation and Drying Processes (4 papers) and Hepatitis B Virus Studies (4 papers). The work is most often cited by research in Pharmaceutical Science (406 citations), Pulmonary and Respiratory Medicine (765 citations), Infectious Diseases (313 citations), Epidemiology (384 citations) and Molecular Medicine (47 citations). Pavan Muttil has collaborated with scholars based in United States, India and Türkiye. Frequent co-authors include Anthony J. Hickey, Awadh Bihari Yadav, Amit Misra, Dominique N. Price, Nitesh K. Kunda, Rolee Sharma, Lucila Garcia‐Contreras, Chenchen Wang, Kaushlendra Kumar and Jatinder Kaur. Their work appears in journals such as The AAPS Journal, International Journal of Pharmaceutics, Tuberculosis, Molecular Pharmaceutics and Pharmaceutical Research.

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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