Pavan Muttil

42 papers receiving 1.3k citations

Peers

Pavan Muttil
Comparison fields: 5 of 110
  • Pharmaceutical Science 405
  • Pulmonary and Respiratory Medicine 724
  • Infectious Diseases 315
  • Epidemiology 413
  • Molecular Medicine 44
Replace Lucila Garcia‐Contreras with:
Lucila Garcia‐Contreras United States
Amit Misra India
Nitesh K. Kunda United States
Andrea Civra Italy
Willem Andreas Germishuizen United Kingdom
Philip J. Kuehl United States
P. Bernard Fourie South Africa
John Gar Yan Chan Australia
Vinay Saluja Netherlands
K. De Beule Belgium
Pavan Muttil relative to Lucila Garcia‐Contreras United States Lucila Garcia‐Contreras's profile →
Citations per field
00.5×1.5×
Lucila Garcia‐Contreras · 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 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007144
2 2009119
3 2008109
4 200778
5 200864
6 201058
7 201556
8 201747
9 201946
10 201645
11 201044
12 201042
13 201839
14 201338
15
Inhalable microparticles containing isoniazid and rifabutin target macrophages and 'stimulate the phagocyte' to achieve high efficacy.
200932
16 201231
17 201831
18 201028
19 201627
20 201526

About Pavan Muttil

Pavan Muttil is a scholar working on Pharmaceutical Science, Pulmonary and Respiratory Medicine, Epidemiology, Infectious Diseases and Molecular Medicine, having authored 45 papers that have together received 1.4k indexed citations. Recurring topics across this work include Inhalation and Respiratory Drug Delivery (28 papers), Pneumonia and Respiratory Infections (10 papers), Tuberculosis Research and Epidemiology (8 papers), Advanced Drug Delivery Systems (7 papers), Cervical Cancer and HPV Research (6 papers), Pneumocystis jirovecii pneumonia detection and treatment (5 papers), Bacteriophages and microbial interactions (5 papers) and Hepatitis B Virus Studies (4 papers). The work is most often cited by research in Pharmaceutical Science (405 citations), Pulmonary and Respiratory Medicine (724 citations), Infectious Diseases (315 citations), Epidemiology (413 citations) and Molecular Medicine (44 citations). Pavan Muttil has collaborated with scholars based in United States, India and Chile. Frequent co-authors include Anthony J. Hickey, Amit Misra, Awadh Bihari Yadav, Rolee Sharma, Dominique N. Price, Nitesh K. Kunda, Lucila Garcia‐Contreras, Chenchen Wang, Jatinder Kaur and Kaushlendra Kumar. Their work appears in journals such as The AAPS Journal, Tuberculosis, Molecular Pharmaceutics, International Journal of 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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