Shukla Das

3.2k citations
144 papers · 1.9k indexed · h-index 21

Impact in

Papers in

Shukla Das

135 papers receiving 1.8k citations

Peers

Shukla Das
Comparison fields: 5 of 115
  • Applied Microbiology and Biotechnology 91
  • Infectious Diseases 709
  • Microbiology 28
  • Molecular Medicine 173
  • Endocrinology 162
Replace Malini R. Capoor with:
Malini R. Capoor India
Abdolvahab Alborzi Iran
Charalampos Antachopoulos Greece
Gülşen Hasçelik Türkiye
Anna F. Lau United States
E. Nagy Hungary
Domenico D’Antonio Italy
Birgit Willinger Austria
Soon‐Pal Suh South Korea
Amar Safdar United States
Shukla Das relative to Malini R. Capoor India Malini R. Capoor's profile →
Citations per field
00.5×1.7×
Malini R. Capoor · 1×
Citations per year

Countries citing papers authored by Shukla Das

Since Specialization
Citations

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

Fields of papers citing papers by Shukla Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20231
3 20230
4 20230
5 20239
6 202118
7 202144
8 20208
9 202025
10 20193
11 201916
12 20197
13 201819
14 20176
15 201510
16
PARADOXICAL REDUCTION IN PREVALENCE OF VIBRIO CHOLERAE IN ITS NICHE ENVIRONMENT
20133
17 201217
18 20119
19 201043
20
Interleukin-3 and interleukin-17 do not play a dynamic role in the immunopathogenesis of osteoarticular tuberculosis.
20094

About Shukla Das

Shukla Das is a scholar working on Endocrinology, Microbiology, Infectious Diseases, Otorhinolaryngology and Molecular Medicine, having authored 144 papers that have together received 1.9k indexed citations. Recurring topics across this work include Fungal Infections and Studies (36 papers), Nail Diseases and Treatments (30 papers), Antifungal resistance and susceptibility (28 papers), Plant Pathogens and Fungal Diseases (21 papers), Infectious Diseases and Mycology (12 papers), Antibiotic Resistance in Bacteria (11 papers), Sinusitis and nasal conditions (10 papers) and Vibrio bacteria research studies (9 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (91 citations), Infectious Diseases (709 citations), Microbiology (28 citations), Molecular Medicine (173 citations) and Endocrinology (162 citations). Shukla Das has collaborated with scholars based in India, Saudi Arabia and United States. Frequent co-authors include Rumpa Saha, Sambit Bhattacharya, Sajad Ahmad Dar, Deepika Pandhi, Gargi Rai, V. G. Ramachandran, Vishnampettai G. Ramachandran, Archana Singal, Narendra Singh and Chhavi Gupta. Their work appears in journals such as Mycopathologia, Microbial Pathogenesis, Scientific Reports, International Journal of Infectious Diseases and Skin Appendage Disorders.

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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