Christopher Nielson

4.6k total citations · 1 hit paper
52 papers, 2.3k citations indexed

About

Christopher Nielson is a scholar working on Physiology, Molecular Biology and Epidemiology. According to data from OpenAlex, Christopher Nielson has authored 52 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Physiology, 11 papers in Molecular Biology and 8 papers in Epidemiology. Recurrent topics in Christopher Nielson's work include Asthma and respiratory diseases (13 papers), Antimicrobial Resistance in Staphylococcus (6 papers) and Stress Responses and Cortisol (5 papers). Christopher Nielson is often cited by papers focused on Asthma and respiratory diseases (13 papers), Antimicrobial Resistance in Staphylococcus (6 papers) and Stress Responses and Cortisol (5 papers). Christopher Nielson collaborates with scholars based in United States, United Kingdom and Australia. Christopher Nielson's co-authors include Robert E. Vestal, Joseph J. Crowley, Nirmal B. Charan, Martin J. Connolly, Nicholas Hadjokas, Stephan D. Fihn, Denise Wingett, W. H. Thompson, Pedro P. Carvalho and Richard A. Sturm and has published in prestigious journals such as The Journal of Immunology, Diabetes Care and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

Christopher Nielson

51 papers receiving 2.2k citations

Hit Papers

Insights From Advanced Analytics At The Veterans Health A... 2014 2026 2018 2022 2014 50 100 150 200 250

Peers

Christopher Nielson
Comparison fields: 5 of 129
  • Pulmonary and Respiratory Medicine 662
  • Physiology 619
  • Molecular Biology 356
  • Epidemiology 307
  • General Health Professions 280
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Citations per field, relative to Christopher Nielson
Christopher Nielson · 1×
Citations per year, relative to Christopher Nielson
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Countries citing papers authored by Christopher Nielson

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Nielson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Nielson

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher Nielson. A scholar is included among the top collaborators of Christopher Nielson 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 Christopher Nielson. Christopher Nielson 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
# Work Indexed citations
1
Scoring Disease-Medication Associations using Advanced NLP, Machine Learning, and Multiple Content Sources.
2
2 11
3 26
4 20
5 31
6 46
7 48
8 2
9 49
10 39
11 65
12 233
13 17
14 14
15 70
16 20
17 22
18 147
19 26
20 68

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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