W. Widagdo

1.2k total citations · 1 hit paper
17 papers, 849 citations indexed

About

W. Widagdo is a scholar working on Infectious Diseases, Animal Science and Zoology and Epidemiology. According to data from OpenAlex, W. Widagdo has authored 17 papers receiving a total of 849 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Infectious Diseases, 7 papers in Animal Science and Zoology and 5 papers in Epidemiology. Recurrent topics in W. Widagdo's work include SARS-CoV-2 and COVID-19 Research (9 papers), Animal Virus Infections Studies (7 papers) and Viral gastroenteritis research and epidemiology (5 papers). W. Widagdo is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (9 papers), Animal Virus Infections Studies (7 papers) and Viral gastroenteritis research and epidemiology (5 papers). W. Widagdo collaborates with scholars based in Netherlands, Germany and Indonesia. W. Widagdo's co-authors include Bart L. Haagmans, V. Stalin Raj, Berend‐Jan Bosch, Judith M. A. van den Brand, Ivy Widjaja, Wentao Li, Albert Bensaïd, Debby Schipper, Joaquím Segalés and Nisreen M.A. Okba and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Clinical Infectious Diseases.

In The Last Decade

W. Widagdo

14 papers receiving 833 citations

Hit Papers

Identification of sialic acid-binding function for the Mi... 2017 2026 2020 2023 2017 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Identification of sialic acid-binding function for the Middle East respiratory syndrome coronavirus spike glycoprotein
    2017 252 citations Wentao Li, Ruben J. G. Hulswit et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
W. Widagdo Netherlands 11 635 221 153 147 95 17 849
Xiaowei Jiang China 12 668 1.1× 207 0.9× 98 0.6× 321 2.2× 129 1.4× 31 1.1k
Leiping Zeng United States 8 824 1.3× 242 1.1× 100 0.7× 596 4.1× 119 1.3× 9 1.4k
Damon Deming United States 13 1.1k 1.7× 424 1.9× 220 1.4× 167 1.1× 49 0.5× 19 1.3k
Maaran Michael Rajah France 11 712 1.1× 104 0.5× 108 0.7× 201 1.4× 32 0.3× 11 932
Chaitanya Kurhade United States 16 776 1.2× 149 0.7× 58 0.4× 235 1.6× 36 0.4× 22 929
Ralph S. Baric United States 15 1.4k 2.2× 629 2.8× 209 1.4× 178 1.2× 84 0.9× 18 1.6k
Benjamin O. Fulton United States 5 685 1.1× 104 0.5× 122 0.8× 218 1.5× 22 0.2× 5 834
Francisco J. Gutierrez-Alvarez Spain 10 599 0.9× 196 0.9× 71 0.5× 185 1.3× 31 0.3× 12 730
Verena Krähling Germany 17 663 1.0× 80 0.4× 198 1.3× 130 0.9× 31 0.3× 33 799

Countries citing papers authored by W. Widagdo

Since Specialization
Citations

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

Fields of papers citing papers by W. Widagdo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of W. Widagdo

This figure shows the co-authorship network connecting the top 25 collaborators of W. Widagdo. A scholar is included among the top collaborators of W. Widagdo 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 W. Widagdo. W. Widagdo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Widagdo, W., et al.. (2021). CURRICULUM IMPLEMENTATION DURING COVID-19 PANDEMIC IN SOCIOLOGICAL PERSPECTIVE. SHILAP Revista de lepidopterología. 5(3). 446–458.
2.
Widagdo, W., et al.. (2020). Implementation of Character Education Through Coaching Discipline of Students. Proceedings of the ICECRS. 5. 1 indexed citations
3.
Widagdo, W., et al.. (2020). Character Education Implementation Through Discipline Development. 5. 2 indexed citations
4.
Widagdo, W., Nisreen M.A. Okba, Mathilde Richard, et al.. (2019). Lack of Middle East Respiratory Syndrome Coronavirus Transmission in Rabbits. Viruses. 11(4). 381–381. 10 indexed citations
5.
Widagdo, W., Nisreen M.A. Okba, Wentao Li, et al.. (2019). Species-Specific Colocalization of Middle East Respiratory Syndrome Coronavirus Attachment and Entry Receptors. Journal of Virology. 93(16). 29 indexed citations
6.
Widagdo, W., et al.. (2019). Host Determinants of MERS-CoV Transmission and Pathogenesis. Viruses. 11(3). 280–280. 57 indexed citations
7.
Seys, Leen, W. Widagdo, Anne Verhamme, et al.. (2018). DPP4, the MERS coronavirus receptor, is upregulated in lungs of smokers and COPD patients. Lirias (KU Leuven).
8.
Raj, V. Stalin, Nisreen M.A. Okba, Francisco J. Gutierrez-Alvarez, et al.. (2018). Chimeric camel/human heavy-chain antibodies protect against MERS-CoV infection. Science Advances. 4(8). eaas9667–eaas9667. 59 indexed citations
9.
Seys, Leen, W. Widagdo, Anne Verhamme, et al.. (2017). DPP4, the Middle East Respiratory Syndrome Coronavirus Receptor, is Upregulated in Lungs of Smokers and Chronic Obstructive Pulmonary Disease Patients. Clinical Infectious Diseases. 66(1). 45–53. 73 indexed citations
10.
Widagdo, W., Lineke Begeman, Debby Schipper, et al.. (2017). Tissue Distribution of the MERS-Coronavirus Receptor in Bats. Scientific Reports. 7(1). 1193–1193. 32 indexed citations
11.
Brand, Judith M. A. van den, W. Widagdo, Leon de Waal, et al.. (2017). Respiratory Infection Routes of MERS-CoV in Rabbits. Journal of Comparative Pathology. 156(1). 79–79. 1 indexed citations
12.
Li, Wentao, Ruben J. G. Hulswit, Ivy Widjaja, et al.. (2017). Identification of sialic acid-binding function for the Middle East respiratory syndrome coronavirus spike glycoprotein. Proceedings of the National Academy of Sciences. 114(40). E8508–E8517. 252 indexed citations breakdown →
13.
Siegers, Jurre Y., Mark van der Kroeg, V. Stalin Raj, et al.. (2017). Phenotypic Differences between Asian and African Lineage Zika Viruses in Human Neural Progenitor Cells. mSphere. 2(4). 76 indexed citations
14.
Widagdo, W., V. Stalin Raj, Debby Schipper, et al.. (2016). Differential Expression of the Middle East Respiratory Syndrome Coronavirus Receptor in the Upper Respiratory Tracts of Humans and Dromedary Camels. Journal of Virology. 90(9). 4838–4842. 95 indexed citations
15.
Vergara‐Alert, Júlia, Judith M. A. van den Brand, W. Widagdo, et al.. (2016). Livestock Susceptibility to Infection with Middle East Respiratory Syndrome Coronavirus. Emerging infectious diseases. 23(2). 232–240. 74 indexed citations
16.
Widagdo, W., Nisreen M.A. Okba, V. Stalin Raj, & Bart L. Haagmans. (2016). MERS-coronavirus: From discovery to intervention. One Health. 3. 11–16. 44 indexed citations
17.
Esch, Celine de, Mehrnaz Ghazvini, Friedemann Loos, et al.. (2014). Epigenetic Characterization of the FMR1 Promoter in Induced Pluripotent Stem Cells from Human Fibroblasts Carrying an Unmethylated Full Mutation. Stem Cell Reports. 3(4). 548–555. 44 indexed citations

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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