Surbhi Malhotra‐Kumar
- Molecular Medicine top 0.1%
- Infectious Diseases top 0.5%
- Molecular Biology top 5%
- Epidemiology top 2%
- Pollution top 1%
- Co-authors
- Herman GoossensChristine LammensSamuel CoenenSamir Kumar‐SinghStephan HarbarthJan KluytmansAndie S. LeeBasil Britto Xavier
- Topics
- Antibiotic Resistance in Bacteria (38 papers)Antimicrobial Resistance in Staphylococcus (31 papers)Pneumonia and Respiratory Infections (26 papers)
- Partner nations
- BelgiumNetherlandsUnited Kingdom
In The Last Decade
Surbhi Malhotra‐Kumar
114 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Molecular Medicine 2.2k
- Infectious Diseases 1.7k
- Molecular Biology 1.5k
- Epidemiology 1.3k
- Pollution 899
Countries citing papers authored by Surbhi Malhotra‐Kumar
This map shows the geographic impact of Surbhi Malhotra‐Kumar'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 Surbhi Malhotra‐Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Surbhi Malhotra‐Kumar more than expected).
Fields of papers citing papers by Surbhi Malhotra‐Kumar
This network shows the impact of papers produced by Surbhi Malhotra‐Kumar. 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 Surbhi Malhotra‐Kumar. The network helps show where Surbhi Malhotra‐Kumar may publish in the future.
Co-authorship network of co-authors of Surbhi Malhotra‐Kumar
This figure shows the co-authorship network connecting the top 25 collaborators of Surbhi Malhotra‐Kumar. A scholar is included among the top collaborators of Surbhi Malhotra‐Kumar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Surbhi Malhotra‐Kumar. Surbhi Malhotra‐Kumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 0 | |
| 9 | 6 | |
| 10 | 37 | |
| 11 | 9 | |
| 12 | 24 | |
| 13 | 3 | |
| 14 | 42 | |
| 15 | 26 | |
| 16 | 14 | |
| 17 | 43 | |
| 18 | 14 | |
| 19 | Multiplex PCR for detection of plasmid-mediated colistin resistance determinants, mcr-1, mcr-2, mcr-3, mcr-4 and mcr-5 for surveillance purposesbreakdown → | 495 |
| 20 | 11 |
About Surbhi Malhotra‐Kumar
Surbhi Malhotra‐Kumar is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology and Clinical Biochemistry, having authored 121 papers that have together received 5.9k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (38 papers), Antimicrobial Resistance in Staphylococcus (31 papers) and Pneumonia and Respiratory Infections (26 papers). The work is most often cited by research in Molecular Medicine (2.2k citations), Applied Microbiology and Biotechnology (784 citations) and Endocrinology (757 citations). Surbhi Malhotra‐Kumar has collaborated with scholars based in Belgium, Netherlands and United Kingdom. Frequent co-authors include Herman Goossens, Christine Lammens, Samuel Coenen, Samir Kumar‐Singh, Stephan Harbarth, Jan Kluytmans, Andie S. Lee, Basil Britto Xavier, Hermı́nia de Lencastre and Javier Garau. Their work appears in journals such as The Lancet, Journal of Clinical Investigation and Nature Communications.
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.