Mahableshwar Albur

761 total citations
28 papers, 402 citations indexed

About

Mahableshwar Albur is a scholar working on Molecular Medicine, Epidemiology and Infectious Diseases. According to data from OpenAlex, Mahableshwar Albur has authored 28 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Medicine, 9 papers in Epidemiology and 8 papers in Infectious Diseases. Recurrent topics in Mahableshwar Albur's work include Antibiotic Resistance in Bacteria (11 papers), Bacterial Identification and Susceptibility Testing (7 papers) and Antibiotics Pharmacokinetics and Efficacy (7 papers). Mahableshwar Albur is often cited by papers focused on Antibiotic Resistance in Bacteria (11 papers), Bacterial Identification and Susceptibility Testing (7 papers) and Antibiotics Pharmacokinetics and Efficacy (7 papers). Mahableshwar Albur collaborates with scholars based in United Kingdom, Saudi Arabia and Germany. Mahableshwar Albur's co-authors include Alasdair MacGowan, Karen E. Bowker, Matthias Eberl, Alan Noel, Simone Cuff, Fergus Hamilton, Andrew Creamer, Donald M. Arnold, Penny Whiting and Iain Weir and has published in prestigious journals such as Antimicrobial Agents and Chemotherapy, Journal of Antimicrobial Chemotherapy and Microbiology.

In The Last Decade

Mahableshwar Albur

24 papers receiving 393 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mahableshwar Albur United Kingdom 10 160 127 88 56 55 28 402
Masayuki Nigo United States 15 167 1.0× 158 1.2× 120 1.4× 67 1.2× 158 2.9× 40 494
A. van’t Veen Netherlands 13 127 0.8× 68 0.5× 32 0.4× 43 0.8× 56 1.0× 26 494
Sara Lopes United Kingdom 5 86 0.5× 125 1.0× 60 0.7× 61 1.1× 26 0.5× 7 265
Min Hyuk Choi South Korea 13 147 0.9× 142 1.1× 23 0.3× 61 1.1× 101 1.8× 33 455
Aharon Abbo Israel 10 115 0.7× 307 2.4× 87 1.0× 20 0.4× 47 0.9× 13 761
Filippo Del Puente Italy 9 147 0.9× 99 0.8× 89 1.0× 32 0.6× 144 2.6× 32 349
Jacqueline Bork United States 11 129 0.8× 69 0.5× 106 1.2× 155 2.8× 128 2.3× 35 443
Christian Lanckohr Germany 12 104 0.7× 53 0.4× 104 1.2× 65 1.2× 92 1.7× 29 347
Luis Alberto Peña Diaz Germany 11 103 0.6× 100 0.8× 39 0.4× 69 1.2× 122 2.2× 21 372
Biljana Carević Serbia 9 63 0.4× 78 0.6× 19 0.2× 48 0.9× 78 1.4× 13 247

Countries citing papers authored by Mahableshwar Albur

Since Specialization
Citations

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

Fields of papers citing papers by Mahableshwar Albur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mahableshwar Albur

This figure shows the co-authorship network connecting the top 25 collaborators of Mahableshwar Albur. A scholar is included among the top collaborators of Mahableshwar Albur 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 Mahableshwar Albur. Mahableshwar Albur is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hettle, David, et al.. (2025). 70 Two cases of spinal infections caused by invasive non-typhoidal Salmonella. Clinical Infection in Practice. 25. 100477–100477.
2.
Sullivan, Brian, Edward D. Barker, Louis MacGregor, et al.. (2025). Comparing conventional and Bayesian workflows for clinical outcome prediction modelling with an exemplar cohort study of severe COVID-19 infection incorporating clinical biomarker test results. BMC Medical Informatics and Decision Making. 25(1). 123–123.
3.
Lee, Todd C., Julia Colston, Mahableshwar Albur, et al.. (2025). Streptococcal endocarditis: a meta-analysis of species dependant risk. EClinicalMedicine. 87. 103425–103425.
7.
Goldenberg, Simon, Andrew Dodgson, Gavin Barlow, et al.. (2022). Epidemiology, Outcomes and Resource Utilisation in Patients with Carbapenem Non-susceptible Gram-Negative Bacteria in the UK: A Retrospective, Observational Study (CARBAR UK). Advances in Therapy. 39(8). 3602–3615. 6 indexed citations
8.
Noel, Alan, Marie Attwood, Karen E. Bowker, Alasdair MacGowan, & Mahableshwar Albur. (2022). Comparative bactericidal activity of representative β-lactams against Enterobacterales, Acinetobacter baumannii and Pseudomonas aeruginosa. Journal of Antimicrobial Chemotherapy. 77(5). 1306–1312. 4 indexed citations
9.
Alorabi, Mohammed, Fergus Hamilton, Yuiko Takebayashi, et al.. (2021). Trade-Offs between Antibacterial Resistance and Fitness Cost in the Production of Metallo-β-Lactamases by Enteric Bacteria Manifest as Sporadic Emergence of Carbapenem Resistance in a Clinical Setting. Antimicrobial Agents and Chemotherapy. 65(8). e0241220–e0241220. 9 indexed citations
10.
Medford, Andrew R L, Charles Sharp, Michael Darby, et al.. (2021). Long-term nitrofurantoin: an analysis of complication awareness, monitoring, and pulmonary injury cases. BJGP Open. 5(6). BJGPO.2021.0083–BJGPO.2021.0083. 5 indexed citations
11.
Grammatikos, Alexandros, et al.. (2020). Antibiotic prophylaxis for the prevention of respiratory tract infections in antibody deficient patients: A retrospective cohort study. Clinical Infection in Practice. 7-8. 100048–100048. 2 indexed citations
12.
Kloprogge, Frank, et al.. (2020). Population Pharmacokinetics of Intraventricular Vancomycin in Neonatal Ventriculitis, A Preterm Pilot Study. European Journal of Pharmaceutical Sciences. 158. 105643–105643. 5 indexed citations
13.
Creamer, Andrew, et al.. (2019). Procalcitonin in respiratory disease: use as a biomarker for diagnosis and guiding antibiotic therapy. Breathe. 15(4). 296–304. 29 indexed citations
14.
Albur, Mahableshwar, et al.. (2019). Using artificial intelligence to reduce diagnostic workload without compromising detection of urinary tract infections. BMC Medical Informatics and Decision Making. 19(1). 171–171. 90 indexed citations
15.
Hamilton, Fergus, et al.. (2018). Early Warning Scores do not accurately predict mortality in sepsis: A meta-analysis and systematic review of the literature. Journal of Infection. 76(3). 241–248. 43 indexed citations
16.
Albur, Mahableshwar, et al.. (2017). Monitoring intraventricular vancomycin for ventriculostomy access device infection in preterm infants. Child s Nervous System. 34(3). 473–479. 7 indexed citations
17.
Darley, Elizabeth, et al.. (2017). Impact of moving to a new hospital build, with a high proportion of single rooms, on healthcare-associated infections and outbreaks. Journal of Hospital Infection. 98(2). 191–193. 14 indexed citations
18.
Albur, Mahableshwar, Fergus Hamilton, & Alasdair MacGowan. (2016). Early warning score: a dynamic marker of severity and prognosis in patients with Gram-negative bacteraemia and sepsis. Annals of Clinical Microbiology and Antimicrobials. 15(1). 23–23. 17 indexed citations
19.
Albur, Mahableshwar, et al.. (2013). Colistin susceptibility testing: time for a review. Journal of Antimicrobial Chemotherapy. 69(5). 1432–1434. 37 indexed citations
20.
MacGowan, Alasdair & Mahableshwar Albur. (2013). Frontline antibiotic therapy. Clinical Medicine. 13(3). 263–268. 10 indexed citations

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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