J. Schubert

2.9k citations
59 papers · 1.6k · 1 hit paper · h-index 15

Impact in

Papers in

J. Schubert

52 papers receiving 1.5k citations

J. Schubert's Hit Papers

The positive impact of lockdown in Wuhan on containing the COVID-19 outbreak in China 2020 · 896 citations
8960+2+4Years since publication250500750

Peers

J. Schubert
Comparison fields: 5 of 173
  • Modeling and Simulation 377
  • Infectious Diseases 308
  • Clinical Psychology 195
  • Economics and Econometrics 248
  • Health, Toxicology and Mutagenesis 103
Replace Indranil Chakraborty with:
Indranil Chakraborty India
Mohammad Jakir Hosen Bangladesh
Ryo Kinoshita Japan
Abeer Kazmi Pakistan
Xuechen Yu United States
Yik Ying Teo Singapore
Jingyi Xiao China
Veria Khosrawipour Germany
Ian Bolliger United States
Muhammad Adnan Shereen China
J. Schubert relative to Indranil Chakraborty India Indranil Chakraborty's profile →
Citations per field
00.5×1.5×1.9×
Indranil Chakraborty · 1×
Citations per year

Countries citing papers authored by J. Schubert

Since Specialization
Citations

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

Fields of papers citing papers by J. Schubert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The positive impact of lockdown in Wuhan on containing the COVID-19 outbreak in China
Hit paper breakdown →
2020896
2 2020111
3 195535
4 198532
5 202031
6 196130
7 196927
8 202026
9 202026
10 201824
11 195722
12 201820
13 201619
14 201818
15 201718
16 201614
17 202212
18 202212
19 202012
20 202012

About J. Schubert

J. Schubert is a scholar working on Infectious Diseases, Molecular Biology, Surgery, Food Science and Pulmonary and Respiratory Medicine, having authored 59 papers that have together received 1.6k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (12 papers), Bacterial biofilms and quorum sensing (8 papers), Intraperitoneal and Appendiceal Malignancies (7 papers), Probiotics and Fermented Foods (6 papers), Radioactive element chemistry and processing (4 papers), Genital Health and Disease (3 papers), Microbial Metabolism and Applications (3 papers) and Nanoparticle-Based Drug Delivery (3 papers). The work is most often cited by research in Modeling and Simulation (377 citations), Infectious Diseases (308 citations), Clinical Psychology (195 citations), Economics and Econometrics (248 citations) and Health, Toxicology and Mutagenesis (103 citations). J. Schubert has collaborated with scholars based in Poland, United States and Germany. Frequent co-authors include Jacek Bania, Veria Khosrawipour, Tanja Khosrawipour, Agata Mikołajczyk, Piotr Kocbach, Hien Lau, A. Lindenbaum, Jarosław Bystroń, Joseph A. Watson and Hirohito Ichii. Their work appears in journals such as Experimental Biology and Medicine, Foodborne Pathogens and Disease, Journal of Cancer, International Journal of Food Microbiology and Anticancer Research.

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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