Robert Hammond

422 total citations
31 papers, 277 citations indexed

About

Robert Hammond is a scholar working on Epidemiology, Infectious Diseases and Clinical Biochemistry. According to data from OpenAlex, Robert Hammond has authored 31 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 11 papers in Infectious Diseases and 9 papers in Clinical Biochemistry. Recurrent topics in Robert Hammond's work include Bacterial Identification and Susceptibility Testing (9 papers), Mycobacterium research and diagnosis (6 papers) and Tuberculosis Research and Epidemiology (5 papers). Robert Hammond is often cited by papers focused on Bacterial Identification and Susceptibility Testing (9 papers), Mycobacterium research and diagnosis (6 papers) and Tuberculosis Research and Epidemiology (5 papers). Robert Hammond collaborates with scholars based in United Kingdom, United States and Germany. Robert Hammond's co-authors include Stephen H. Gillespie, Samuel Lipworth, Anthony Coates, Yanmin Hu, Mingzhou Chen, Katarí­na Oravcová, Kishan Dholakia, David W. Johnson, Robert E. Sherman and Peter Glynne‐Jones and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Robert Hammond

26 papers receiving 272 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert Hammond United Kingdom 8 131 101 38 34 33 31 277
Yasuhiro Tsuchido Japan 9 84 0.6× 79 0.8× 23 0.6× 16 0.5× 19 0.6× 28 271
Hsing‐Yi Chung Taiwan 10 193 1.5× 85 0.8× 50 1.3× 65 1.9× 6 0.2× 30 328
Michael T. Davenport United States 4 19 0.1× 116 1.1× 56 1.5× 103 3.0× 15 0.5× 5 307
Hannah Mack United States 3 49 0.4× 120 1.2× 72 1.9× 84 2.5× 11 0.3× 5 284
Janne O. Koskinen Finland 11 142 1.1× 128 1.3× 66 1.7× 74 2.2× 5 0.2× 24 335
Wei Kang China 11 45 0.3× 34 0.3× 74 1.9× 35 1.0× 17 0.5× 28 299
N. Halfpenny United Kingdom 8 123 0.9× 82 0.8× 27 0.7× 6 0.2× 27 0.8× 15 354
Vikram Saini United States 9 129 1.0× 97 1.0× 39 1.0× 32 0.9× 118 3.6× 15 286
Gokul Mishra United Kingdom 6 142 1.1× 107 1.1× 52 1.4× 28 0.8× 53 1.6× 9 219
Gu-Lung Lin United Kingdom 4 118 0.9× 156 1.5× 40 1.1× 9 0.3× 17 0.5× 6 270

Countries citing papers authored by Robert Hammond

Since Specialization
Citations

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

Fields of papers citing papers by Robert Hammond

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Hammond

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Hammond. A scholar is included among the top collaborators of Robert Hammond 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 Robert Hammond. Robert Hammond 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.
Hammond, Robert, et al.. (2025). Investigating the time to blood culture positivity: why does it take so long?. Journal of Medical Microbiology. 74(1). 1 indexed citations
2.
Bertheloot, Damien, Robert Ossendorff, Andreas C. Strauß, et al.. (2025). Novel Method for the Rapid Establishment of Antibiotic Susceptibility Profiles in Bacterial Strains Linked to Musculoskeletal Infections Using Scattered Light Integrated Collector Technology. International Journal of Molecular Sciences. 26(4). 1553–1553.
3.
4.
Hammond, Robert, et al.. (2024). COVID-19 Pathophysiology: Inflammation to Cardiac Injury. SHILAP Revista de lepidopterología. 5(4). 628–644. 1 indexed citations
5.
6.
Hammond, Robert. (2024). Using Hollow Fiber to Model Treatment of Antimicrobial-Resistant Organisms. Methods in molecular biology. 2833. 57–64. 1 indexed citations
7.
Hammond, Robert, et al.. (2024). An investigation of scattered light integrating collector technology for rapid blood culture sensitivity testing. Journal of Medical Microbiology. 73(10).
8.
Liu, Alexander, Robert Hammond, Kenneth Chan, et al.. (2023). Low CRB-65 Scores Effectively Rule out Adverse Clinical Outcomes in COVID-19 Irrespective of Chest Radiographic Abnormalities. Biomedicines. 11(9). 2423–2423. 2 indexed citations
9.
Liu, Alexander, Robert Hammond, Kenneth Chan, et al.. (2023). Characterisation of Ferritin–Lymphocyte Ratio in COVID-19. Biomedicines. 11(10). 2819–2819. 4 indexed citations
10.
Liu, Alexander, Robert Hammond, Kenneth Chan, et al.. (2023). Comparison of Lymphocyte–CRP Ratio to Conventional Inflammatory Markers for Predicting Clinical Outcomes in COVID-19. Journal of Personalized Medicine. 13(6). 909–909. 6 indexed citations
11.
Liu, Alexander, Robert Hammond, Peter Donnelly, Juan Carlos Kaski, & Anthony Coates. (2023). Effective prognostic and clinical risk stratification in COVID‐19 using multimodality biomarkers. Journal of Internal Medicine. 294(1). 21–46. 11 indexed citations
12.
Liu, Alexander, Robert Hammond, Kenneth Chan, et al.. (2023). Normal high-sensitivity cardiac troponin for ruling-out inpatient mortality in acute COVID-19. PLoS ONE. 18(4). e0284523–e0284523. 5 indexed citations
13.
O’Mahoney, Paul, et al.. (2023). 222 nm F ar‐ UVC from filtered K rypton‐ C hloride excimer lamps does not cause eye irritation when deployed in a simulated office environment. Photochemistry and Photobiology. 100(1). 137–145. 14 indexed citations
14.
Hammond, Robert, et al.. (2020). Improving the recovery and detection of bloodstream pathogens from blood culture. Journal of Medical Microbiology. 69(6). 806–811. 6 indexed citations
15.
Kloprogge, Frank, Robert Hammond, Karin Kipper, Stephen H. Gillespie, & Oscar Della Pasqua. (2019). Mimicking in-vivo exposures to drug combinations in-vitro: anti-tuberculosis drugs in lung lesions and the hollow fiber model of infection. Scientific Reports. 9(1). 13228–13228. 17 indexed citations
16.
Hammond, Robert, et al.. (2018). Enhanced Methodologies for Detecting Phenotypic Resistance in Mycobacteria. Methods in molecular biology. 1736. 85–94. 4 indexed citations
17.
Chen, Mingzhou, Simon Clark, Ann Williams, et al.. (2017). Label-free optical vibrational spectroscopy to detect the metabolic state of M. tuberculosis cells at the site of disease. Scientific Reports. 7(1). 9844–9844. 21 indexed citations
18.
Lipworth, Samuel, et al.. (2016). Defining dormancy in mycobacterial disease. Tuberculosis. 99. 131–142. 65 indexed citations
19.
Hammond, Robert, et al.. (2015). Phenotypic resistance in mycobacteria: is it because I am old or fat that I resist you?. Journal of Antimicrobial Chemotherapy. 70(10). 2823–2827. 38 indexed citations
20.
Heber, Sharon, et al.. (1997). Water-related disease in Florida: continuing threats require vigilance.. PubMed. 84(7). 441–5. 7 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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