J. S. Teppema

27 total papers · 860 total citations
27 papers, 682 citations indexed

About

J. S. Teppema is a scholar working on Molecular Biology, Virology and Ecology. According to data from OpenAlex, J. S. Teppema has authored 27 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Virology and 6 papers in Ecology. Recurrent topics in J. S. Teppema's work include Animal Virus Infections Studies (4 papers), Virus-based gene therapy research (4 papers) and Rabies epidemiology and control (3 papers). J. S. Teppema is often cited by papers focused on Animal Virus Infections Studies (4 papers), Virus-based gene therapy research (4 papers) and Rabies epidemiology and control (3 papers). J. S. Teppema collaborates with scholars based in Netherlands, Guinea-Bissau and United States. J. S. Teppema's co-authors include Albert D. M. E. Osterhaus, Jan Groen, E. J. Ruitenberg, I. K. G. Visser, G. van Steenis, F. G. C. M. UytdeHaag, Huaqiang Yang, Marco W. G. van de Bildt, J D van Embden and Petra de Vries and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, The Journal of Urology and Infection and Immunity.

In The Last Decade

J. S. Teppema

27 papers receiving 606 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
J. S. Teppema 228 186 144 140 139 27 682
Cheville Nf 339 1.5× 73 0.4× 86 0.6× 144 1.0× 110 0.8× 28 728
Giusy Cardeti 243 1.1× 74 0.4× 123 0.9× 108 0.8× 145 1.0× 35 771
Katia Varello 171 0.8× 104 0.6× 99 0.7× 133 0.9× 133 1.0× 68 697
G. Speckmann 191 0.8× 130 0.7× 95 0.7× 134 1.0× 57 0.4× 25 620
Christian A. Tidona 188 0.8× 99 0.5× 151 1.0× 230 1.6× 297 2.1× 21 762
Kazue Ohishi 229 1.0× 124 0.7× 65 0.5× 58 0.4× 206 1.5× 46 606
W D Yates 274 1.2× 63 0.3× 81 0.6× 63 0.5× 178 1.3× 21 736
Samit Kundu 331 1.5× 60 0.3× 76 0.5× 101 0.7× 84 0.6× 23 631
Simon Chioma Weli 155 0.7× 114 0.6× 108 0.8× 127 0.9× 323 2.3× 36 744
S. J. McCullough 378 1.7× 113 0.6× 82 0.6× 242 1.7× 69 0.5× 16 649

Countries citing papers authored by J. S. Teppema

Since Specialization
Citations

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

Fields of papers citing papers by J. S. Teppema

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. S. Teppema. 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 J. S. Teppema. The network helps show where J. S. Teppema may publish in the future.

Co-authorship network of co-authors of J. S. Teppema

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

All Works

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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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