Benjamin Small

4.3k citations
26 papers · 2.8k · 4 hit papers · h-index 17

Impact in

Papers in

Benjamin Small

26 papers receiving 2.8k citations

Benjamin Small's Hit Papers

Large-scale phenotyping of patients with long COVID post-hospitalization reveals mechanistic subtypes of disease 2024 · 65 citations
650+1+3Years since publication200400600

Peers

Benjamin Small
Comparison fields: 5 of 133
  • Infectious Diseases 1.5k
  • Applied Microbiology and Biotechnology 119
  • Neurology 374
  • Critical Care and Intensive Care Medicine 99
  • Modeling and Simulation 76
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Citations per year

Countries citing papers authored by Benjamin Small

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Small

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Benjamin Small, 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 Benjamin Small Line = papers co-authored together Benjamin Small links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1
SARS-CoV-2 Omicron-B.1.1.529 leads to widespread escape from neutralizing antibody responses
Hit paper breakdown →
2022740
2
Mapping the human genetic architecture of COVID-19
Hit paper breakdown →
2021641
3
Co-infections, secondary infections, and antimicrobial use in patients hospitalised with COVID-19 during the first pandemic wave from the ISARIC WHO CCP-UK study: a multicentre, prospective cohort study
Hit paper breakdown →
2021249
4 2021161
5 2021160
6 2021135
7 2021119
8 2021102
9 202286
10 202175
11 202168
12
Large-scale phenotyping of patients with long COVID post-hospitalization reveals mechanistic subtypes of disease
Hit paper breakdown →
202465
13 202150
14 202332
15 202323
16 202322
17 202121
18 202216
19 201912
20 202111

About Benjamin Small

Benjamin Small is a scholar working on Infectious Diseases, Applied Microbiology and Biotechnology, Neurology, Epidemiology and Neurology, having authored 26 papers that have together received 2.8k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Long-Term Effects of COVID-19 (3 papers), Liver Disease Diagnosis and Treatment (2 papers), Antibiotic Use and Resistance (2 papers), Nanoparticle-Based Drug Delivery (1 paper), Kruppel-like factors research (1 paper) and Respiratory viral infections research (1 paper). The work is most often cited by research in Infectious Diseases (1.5k citations), Applied Microbiology and Biotechnology (119 citations), Neurology (374 citations), Critical Care and Intensive Care Medicine (99 citations) and Modeling and Simulation (76 citations). Benjamin Small has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Misha Ali, Vinodh Kannappan, Weiguang Wang, Q. Ping Dou, Shannon Whirledge, Clare Ann Flannery, Anthony Glyn Evans, Lucy S. Oldfield, Milton Ashworth and Christopher Michael Halloran. Their work appears in journals such as The Lancet Respiratory Medicine, Open Forum Infectious Diseases, The Lancet, The Lancet Microbe and The Journal of Clinical Endocrinology & Metabolism.

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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