Christopher Nicholson

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

Christopher Nicholson

27 papers receiving 669 citations

Hit Papers

Predictors of mortality in hospitalized COVID‐19 patients...4072020202620222024100200300400

Peers

Christopher Nicholson
Comparison fields: 5 of 108
  • Infectious Diseases 380
  • Neurology 211
  • Anatomy 12
  • Oncology 150
  • Critical Care and Intensive Care Medicine 28
Replace Fanni Dembrovszky with:
Fanni Dembrovszky Hungary
Jielong Pang China
Joana Alarcão Portugal
H Catalano Argentina
Fang‐Wen Hu Taiwan
Raymie McFarland United States
Sanjeev Bhoi India
Maxwell A. Konnaris United States
Sumita Agrawal India
Christopher Nicholson relative to Fanni Dembrovszky Hungary Fanni Dembrovszky's profile →
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Citations per year

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-authorship network

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
#Work
1 20240
2 20223
3 202111
4 202173
5
Predictors of mortality in hospitalized COVID‐19 patients: A systematic review and meta‐analysisbreakdown →
2020407
6 20201
7 20194
8 20192
9 20192
10 201738
11 20163
12 20152
13 201411
14 201438
15 20142
16 20142
17 20072
18 20051
19 20052
20 200424

About Christopher Nicholson

Christopher Nicholson is a scholar working on Anatomy, Language and Linguistics, Cardiology and Cardiovascular Medicine, Occupational Therapy and History and Philosophy of Science, having authored 31 papers that have together received 698 indexed citations. Recurring topics across this work include Medical and Biological Sciences (6 papers), linguistics and terminology studies (4 papers), Cardiovascular Health and Disease Prevention (4 papers), Cardiac Imaging and Diagnostics (3 papers), Lexicography and Language Studies (2 papers), Congenital Heart Disease Studies (2 papers), Historical Geopolitical and Social Dynamics (2 papers) and Cardiovascular Function and Risk Factors (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 Luke Wooster, Wenjie Tian, Rebecca Li, Wanlin Jiang, Rajeev Malhotra, Haakon H. Sigurslid, Jie Yao, Xiuqing Guo, Jerome I. Rotter and Stephen C. Robson. 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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