Rupak Datta

9.8k citations
61 papers · 1.8k indexed · h-index 20

Rupak Datta

60 papers receiving 1.8k citations

Peers

Rupak Datta
Comparison fields: 5 of 117
  • Applied Microbiology and Biotechnology 155
  • Clinical Biochemistry 296
  • Infectious Diseases 765
  • Critical Care and Intensive Care Medicine 108
  • Microbiology 103
Replace Svend Ellermann‐Eriksen with:
Svend Ellermann‐Eriksen Denmark
Susan Nicholson United States
Silvana K. Rampini Switzerland
Anne J. Blaschke United States
Marios Arvanitis United States
Parviz Ahmad‐Nejad Germany
Ron Kusters Netherlands
William Eisner United States
Ulrike Schumacher Germany
Hee Kyoung Choi South Korea
Rupak Datta relative to Svend Ellermann‐Eriksen Denmark Svend Ellermann‐Eriksen's profile →
Citations per field
00.5×3.7×
Svend Ellermann‐Eriksen · 1×
Citations per year

Countries citing papers authored by Rupak Datta

Since Specialization
Citations

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

Fields of papers citing papers by Rupak Datta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20241
3 20241
4 20232
5 20232
6 20225
7 202129
8 20211
9 20218
10 202047
11 20182
12 20179
13 20154
14 201534
15 20142
16 20123
17 20128
18 201049
19 200845
20 200462

About Rupak Datta

Rupak Datta is a scholar working on Applied Microbiology and Biotechnology, Microbiology, Clinical Biochemistry, Critical Care and Intensive Care Medicine and Infectious Diseases, having authored 61 papers that have together received 1.8k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (14 papers), Urinary Tract Infections Management (11 papers), Antibiotic Use and Resistance (9 papers), Bacterial Identification and Susceptibility Testing (9 papers), Nosocomial Infections in ICU (6 papers), Patient Satisfaction in Healthcare (5 papers), Palliative Care and End-of-Life Issues (5 papers) and Pneumonia and Respiratory Infections (5 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (155 citations), Clinical Biochemistry (296 citations), Infectious Diseases (765 citations), Critical Care and Intensive Care Medicine (108 citations) and Microbiology (103 citations). Rupak Datta has collaborated with scholars based in United States, Philippines and United Kingdom. Frequent co-authors include Susan S. Huang, Richard Platt, Donald Küfe, Dennis E. Hallahan, ML Sherman, Deborah S. Yokoe, R.R. Weichselbaum, Virginia L. Hinrichsen, Irina Miroshnik and Ralph R. Weichselbaum. Their work appears in journals such as Infection Control and Hospital Epidemiology, Open Forum Infectious Diseases, Clinical Infectious Diseases, Blood and Journal of the American Geriatrics Society.

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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