Saskia L. Smits

8.1k citations
71 papers · 4.8k indexed · 1 hit paper · h-index 34

Saskia L. Smits

71 papers receiving 4.7k citations

Hit Papers

Dipeptidyl peptidase 4 is a functional receptor for the e...1.5k201320262017202150010001.5k

Peers

Saskia L. Smits
Comparison fields: 5 of 128
  • Infectious Diseases 3.5k
  • Animal Science and Zoology 1.6k
  • Modeling and Simulation 269
  • Hepatology 329
  • Epidemiology 1.1k
Replace Jian‐Piao Cai with:
Jian‐Piao Cai China
Eric Donaldson United States
Chien‐Te K. Tseng United States
Shuo Su China
Ronald Dijkman Switzerland
Xing‐Lou Yang China
V. Stalin Raj Netherlands
Shinji Makino United States
Julian A. Hiscox United Kingdom
Adam S. Lauring United States
Saskia L. Smits relative to Jian‐Piao Cai China Jian‐Piao Cai's profile →
Citations per field
00.5×2.7×
Jian‐Piao Cai · 1×
Citations per year

Countries citing papers authored by Saskia L. Smits

Since Specialization
Citations

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

Fields of papers citing papers by Saskia L. Smits

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Saskia L. Smits. 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 Saskia L. Smits. The network helps show where Saskia L. Smits may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20202
2 20156
3 201512
4 201512
5 2014113
6 201443
7 201415
8 201433
9 20147
10 201420
11 201327
12
Dipeptidyl peptidase 4 is a functional receptor for the emerging human coronavirus-EMCbreakdown →
20131530
13 201311
14 201321
15 201228
16 201158
17 201197
18 2010270
19 200539
20 199740

About Saskia L. Smits

Saskia L. Smits is a scholar working on Animal Science and Zoology, Infectious Diseases and Hepatology, having authored 71 papers that have together received 4.8k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (35 papers), Viral gastroenteritis research and epidemiology (29 papers), SARS-CoV-2 and COVID-19 Research (15 papers), Respiratory viral infections research (11 papers), Virus-based gene therapy research (10 papers), Viral Infections and Immunology Research (10 papers), Hepatitis B Virus Studies (8 papers) and Hepatitis C virus research (8 papers). The work is most often cited by research in Infectious Diseases (3.5k citations), Animal Science and Zoology (1.6k citations) and Modeling and Simulation (269 citations). Saskia L. Smits has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Albert D. M. E. Osterhaus, Bart L. Haagmans, V. Stalin Raj, Berend‐Jan Bosch, Ron A. M. Fouchier, Peter J. M. Rottier, Christian Drosten, Marcel A. Müller, Ali M. Zaki and Doreen Muth. Their work appears in journals such as Nature, Science and Journal of Biological Chemistry.

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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