Sarah Krämer

1.6k citations
38 papers · 1.1k · 1 hit paper · h-index 15

Impact in

Papers in

    • Influenza Virus Research Studies 11
    • Respiratory viral infections research 5
    • Pneumonia and Respiratory Infections 2
    • Data-Driven Disease Surveillance 2
    • COVID-19 epidemiological studies 9

Sarah Krämer

37 papers receiving 1.1k citations

Sarah Krämer's Hit Papers

Global patterns in coronavirus diversity 2017 · 268 citations
2680+3+6Years since publication50100150200250

Peers

Sarah Krämer
Comparison fields: 5 of 132
  • Modeling and Simulation 124
  • Infectious Diseases 285
  • Aquatic Science 56
  • Animal Science and Zoology 67
  • Epidemiology 183
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Ping Niu China
Majid Khoshmirsafa Iran
Suzanne M. Scheaffer United States
Qi Xiao China
Gang Qin China
Karin van den Berg South Africa
Skyler Uhl United States
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Xiaohu Wang China
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Citations per field
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Citations per year

Countries citing papers authored by Sarah Krämer

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Krämer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Global patterns in coronavirus diversity
Hit paper breakdown →
2017268
2 2012215
3 2009158
4 201575
5 202137
6 201537
7 201424
8 201822
9 201922
10 202220
11 200620
12 202318
13 201718
14
In vivo clearance studies of the terminal fluid-phase complement complex in rabbits.
198915
15 202014
16 201512
17 202311
18 200310
19 200910
20 201110

About Sarah Krämer

Sarah Krämer is a scholar working on Epidemiology, Modeling and Simulation, Infectious Diseases, General Health Professions and Public Health, Environmental and Occupational Health, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (11 papers), COVID-19 epidemiological studies (9 papers), Respiratory viral infections research (5 papers), Primary Care and Health Outcomes (3 papers), Zoonotic diseases and public health (2 papers), Pneumonia and Respiratory Infections (2 papers), Data-Driven Disease Surveillance (2 papers) and Clinical practice guidelines implementation (2 papers). The work is most often cited by research in Modeling and Simulation (124 citations), Infectious Diseases (285 citations), Aquatic Science (56 citations), Animal Science and Zoology (67 citations) and Epidemiology (183 citations). Sarah Krämer has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Nicholas J. Bernier, Jeffrey Shaman, Tom McGowan, Carol Sawka, John R. Srigley, Barry N. Madison, Sara Tavakoli, Peter Daszak, William B. Karesh and Heather Wells. Their work appears in journals such as PLoS Computational Biology, Influenza and Other Respiratory Viruses, BMC Public Health, Journal of Endocrinology and Scientific Reports.

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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