Christopher Nicholson

1.2k citations
31 papers · 698 · 1 hit paper · h-index 9

Impact in

    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
  • Neurology top 5%
    • Long-Term Effects of COVID-19

Papers in

Christopher Nicholson

27 papers receiving 669 citations

Christopher Nicholson's Hit Papers

Predictors of mortality in hospitalized COVID‐19 patients: A systematic review and meta‐analysis 2020 · 407 citations
4070+2+4Years since publication100200300400

Peers

Christopher Nicholson
Comparison fields: 5 of 108
  • Infectious Diseases 380
  • Neurology 211
  • Anatomy 12
  • Oncology 150
  • Critical Care and Intensive Care Medicine 28
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Countries citing papers authored by Christopher Nicholson

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Nicholson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Predictors of mortality in hospitalized COVID‐19 patients: A systematic review and meta‐analysis
Hit paper breakdown →
2020407
2 202173
3 201738
4 201438
5 201627
6 200424
7 201411
8 202111
9
Heart Failure: A Clinical Nursing Handbook
200711
10 20078
11 20195
12 20085
13 20155
14 20194
15 19954
16 20163
17 20223
18 20203
19 20142
20 20072

About Christopher Nicholson

Christopher Nicholson is a scholar working on Cardiology and Cardiovascular Medicine, Anatomy, Language and Linguistics, Molecular Biology and Neurology, having authored 31 papers that have together received 698 indexed citations. Recurring topics across this work include Medical and Biological Sciences (6 papers), Cardiovascular Health and Disease Prevention (4 papers), linguistics and terminology studies (4 papers), Cardiac Imaging and Diagnostics (3 papers), Long-Term Effects of COVID-19 (2 papers), MicroRNA in disease regulation (2 papers), Lexicography and Language Studies (2 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Infectious Diseases (380 citations), Neurology (211 citations), Anatomy (12 citations), Oncology (150 citations) and Critical Care and Intensive Care Medicine (28 citations). Christopher Nicholson has collaborated with scholars based in United Kingdom, Chile and United States. Frequent co-authors include Haakon H. Sigurslid, Wenjie Tian, Luke Wooster, Rebecca Li, Rajeev Malhotra, Wanlin Jiang, Jie Yao, Jerome I. Rotter, Xiuqing Guo and Michael J. Taggart. Their work appears in journals such as Islam and Christian–Muslim Relations, Journal of Cellular and Molecular Medicine, Scientific Reports, Circulation Research and Journal of Medical Virology.

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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