Kristin Nelson

2.0k citations
41 papers · 1.1k · h-index 18

Impact in

Papers in

    • Tuberculosis Research and Epidemiology 12
    • SARS-CoV-2 and COVID-19 Research 6
    • Mycobacterium research and diagnosis 5
    • Pneumonia and Respiratory Infections 3

Kristin Nelson

37 papers receiving 1.1k citations

Peers

Kristin Nelson
Comparison fields: 5 of 121
  • Modeling and Simulation 220
  • Infectious Diseases 291
  • Pediatrics, Perinatology and Child Health 210
  • Obstetrics and Gynecology 82
  • Health 85
Replace Sophie Cousins with:
Sophie Cousins France
Mohammad S Razai United Kingdom
Tony Kirby
Grant Murewanhema Zimbabwe
Sherrie L. Kelly Australia
Bankole Olatosi United States
Ruwan Ratnayake United States
Kieran Walsh Ireland
Guillaume Favre Switzerland
Itai Chitungo Zimbabwe
Kristin Nelson relative to Sophie Cousins France Sophie Cousins's profile →
Citations per field
00.5×5.3×
Sophie Cousins · 1×
Citations per year

Countries citing papers authored by Kristin Nelson

Since Specialization
Citations

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

Fields of papers citing papers by Kristin Nelson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995217
2 2020144
3 1995132
4 202171
5 202158
6 202157
7 201646
8 201646
9 198543
10 202036
11 201828
12 201825
13 202124
14 201922
15 201719
16 199519
17 201919
18 200618
19 202213
20 202212

About Kristin Nelson

Kristin Nelson is a scholar working on Infectious Diseases, Epidemiology, Modeling and Simulation, Health and Economics and Econometrics, having authored 41 papers that have together received 1.1k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (12 papers), COVID-19 epidemiological studies (8 papers), SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 Pandemic Impacts (5 papers), Vaccine Coverage and Hesitancy (5 papers), Mycobacterium research and diagnosis (5 papers), Pneumonia and Respiratory Infections (3 papers) and COVID-19 and Mental Health (2 papers). The work is most often cited by research in Modeling and Simulation (220 citations), Infectious Diseases (291 citations), Pediatrics, Perinatology and Child Health (210 citations), Obstetrics and Gynecology (82 citations) and Health (85 citations). Kristin Nelson has collaborated with scholars based in United States, South Africa and Italy. Frequent co-authors include R GOLDENBERG, M. Gardner, Suzanne Cliver, James D. Tucker, Max S. Y. Lau, Ben Lopman, Benjamin A. Lopman, Bryan T. Grenfell, Michael Bryan and Henry T. Hoffman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Epidemiology, Epidemics, Obstetrics and Gynecology and Vaccine.

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.

Explore authors with similar magnitude of impact