Misja Ilcisin

1.3k citations
5 papers · 196 · h-index 4

Impact in

Papers in

Misja Ilcisin

5 papers receiving 192 citations

Peers

Misja Ilcisin
Comparison fields: 5 of 51
  • Infectious Diseases 78
  • Modeling and Simulation 13
  • Social Psychology 32
  • Health 10
  • Epidemiology 37
Replace Robert Paulino-Ramírez with:
Robert Paulino-Ramírez Dominican Republic
George S. Han United States
Vickie Ramirez United States
Doug H. Cheung United States
Céline Michaud France
Yi Song China
Vanessa Lim Singapore
Kris K. Carter United States
Anke Rotsaert Belgium
Françoise Le Pont France
Misja Ilcisin relative to Robert Paulino-Ramírez Dominican Republic Robert Paulino-Ramírez's profile →
Citations per field
00.5×1.5×
Robert Paulino-Ramírez · 1×
Citations per year

Countries citing papers authored by Misja Ilcisin

Since Specialization
Citations

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

Fields of papers citing papers by Misja Ilcisin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

5 of 5 papers shown
#Work
1 2021112
2 201767
3 20219
4
Genomic analysis of nCoV spread. Situation report 2020-01-23.
20207
5 20241

About Misja Ilcisin

Misja Ilcisin is a scholar working on Infectious Diseases, Molecular Biology, General Health Professions, Clinical Psychology and Sociology and Political Science, having authored 5 papers that have together received 196 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (1 paper), Viral gastroenteritis research and epidemiology (1 paper), Workplace Health and Well-being (1 paper), Influenza Virus Research Studies (1 paper), Bacterial Identification and Susceptibility Testing (1 paper), COVID-19 and Mental Health (1 paper), Bacteriophages and microbial interactions (1 paper) and Employment and Welfare Studies (1 paper). The work is most often cited by research in Infectious Diseases (78 citations), Modeling and Simulation (13 citations), Social Psychology (32 citations), Health (10 citations) and Epidemiology (37 citations). Misja Ilcisin has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Katherine Saxton, Trevor Bedford, Emma B. Hodcroft, Richard A. Neher, James Hadfield, Thomas R. Sibley, John Huddleston, Elias Harkins, Jover Lee and Kairsten Fay. Their work appears in journals such as JMIR Public Health and Surveillance, International Journal for Equity in Health, PLoS ONE, The Journal of Open Source Software and ResearchWorks at the University of Washington (University of Washington).

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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