Denise Siegrist

22 total papers · 443 total citations
12 papers, 198 citations indexed

About

Denise Siegrist is a scholar working on Infectious Diseases, Epidemiology and Modeling and Simulation. According to data from OpenAlex, Denise Siegrist has authored 12 papers receiving a total of 198 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Infectious Diseases, 3 papers in Epidemiology and 3 papers in Modeling and Simulation. Recurrent topics in Denise Siegrist's work include SARS-CoV-2 and COVID-19 Research (4 papers), Viral Infections and Outbreaks Research (3 papers) and COVID-19 epidemiological studies (3 papers). Denise Siegrist is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (4 papers), Viral Infections and Outbreaks Research (3 papers) and COVID-19 epidemiological studies (3 papers). Denise Siegrist collaborates with scholars based in Switzerland, United Kingdom and Germany. Denise Siegrist's co-authors include Roland Züst, Hulda R. Jónsdóttir, Olivier Engler, Michel Bielecki, Jeremy Deuel, Rahel Ackermann‐Gäumann, Zeno Stanga, Werner C. Albrich, A Suter and Roland Schoop and has published in prestigious journals such as Analytical Chemistry, Clinical Infectious Diseases and Scientific Reports.

In The Last Decade

Denise Siegrist

11 papers receiving 193 citations

Author Peers

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

Author						Papers	Cites
Denise Siegrist	78	48	32	30	29	12	198
Ritwik Dahake	74 0.9×	17 0.4×	34 1.1×	27 0.9×	7 0.2×	16	198
Natalie Heinen	86 1.1×	16 0.3×	16 0.5×	51 1.7×	13 0.4×	18	209
Wael H. Roshdy	81 1.0×	22 0.5×	14 0.4×	17 0.6×	22 0.8×	19	199
Mohammed S. Alsuabeyl	112 1.4×	13 0.3×	28 0.9×	16 0.5×	8 0.3×	11	287
Shuran Gong	137 1.8×	14 0.3×	17 0.5×	12 0.4×	18 0.6×	13	248
Yashika Sharma	72 0.9×	24 0.5×	22 0.7×	4 0.1×	11 0.4×	23	244
Alexander Zarbock	130 1.7×	11 0.2×	11 0.3×	28 0.9×	7 0.2×	12	270
Kuldeep Kumar	150 1.9×	33 0.7×	5 0.2×	21 0.7×	12 0.4×	10	207
Ying Zhang	177 2.3×	17 0.4×	6 0.2×	12 0.4×	14 0.5×	24	262
Fatemeh Roozbeh	96 1.2×	27 0.6×	7 0.2×	8 0.3×	73 2.5×	15	279

Countries citing papers authored by Denise Siegrist

Since Specialization

Citations

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

Fields of papers citing papers by Denise Siegrist

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Denise Siegrist

This figure shows the co-authorship network connecting the top 25 collaborators of Denise Siegrist. A scholar is included among the top collaborators of Denise Siegrist 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 Denise Siegrist. Denise Siegrist 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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