Padma Krishnan

42 papers receiving 719 citations

Peers

Padma Krishnan
Comparison fields: 5 of 87
  • Molecular Medicine 165
  • Applied Microbiology and Biotechnology 35
  • Endocrinology 83
  • Clinical Biochemistry 73
  • Periodontics 47
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Desiree R Romano United States
Sasha H. Shafikhani United States
Tomasz Bogiel Poland
Liyan Ye China
Miho Ogawa Japan
Karen Moreau France
Brahmchetna Bedi United States
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Jingjing Quan China
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Citations per field
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Citations per year

Countries citing papers authored by Padma Krishnan

Since Specialization
Citations

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

Fields of papers citing papers by Padma Krishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006153
2 200471
3 201670
4 201766
5 200248
6 201248
7 200935
8 201726
9
Isolation of the first three cases of Clostridium difficile polymerase chain reaction ribotype 027 in Singapore.
201121
10
AmpC β-lactamases in nosocomial isolates of Klebsiella pneumoniae from India.
201218
11 201617
12 200216
13 201813
14
Changing trends in antimicrobial resistance of Salmonella enterica serovar typhi and salmonella enterica serovar paratyphi A in Chennai
200912
15 201212
16 201911
17 202010
18 201810
19 20229
20 20137

About Padma Krishnan

Padma Krishnan is a scholar working on Molecular Medicine, Molecular Biology, Infectious Diseases, Endocrinology and Epidemiology, having authored 44 papers that have together received 750 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (16 papers), Antimicrobial Resistance in Staphylococcus (13 papers), Bacterial biofilms and quorum sensing (10 papers), Bacterial Identification and Susceptibility Testing (5 papers), Oral microbiology and periodontitis research (5 papers), Vibrio bacteria research studies (5 papers), Pharmaceutical and Antibiotic Environmental Impacts (4 papers) and Urinary Tract Infections Management (4 papers). The work is most often cited by research in Molecular Medicine (165 citations), Applied Microbiology and Biotechnology (35 citations), Endocrinology (83 citations), Clinical Biochemistry (73 citations) and Periodontics (47 citations). Padma Krishnan has collaborated with scholars based in India, United States and Japan. Frequent co-authors include Mirela Anghelina, Nicanor I. Moldovan, Leni Moldovan, Krishnan Mahalakshmi, Anil Kush, Sundaram Balasubramanian, Sanjith Saseedharan, Edwin Pathrose, Arun Bal and Sikhamani Rajasekaran. Their work appears in journals such as BMC Infectious Diseases, Infection and Drug Resistance, International Journal of Infectious Diseases, Stem Cells and Development and Antimicrobial Agents and Chemotherapy.

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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