Lisa Weidner

482 citations
19 papers · 310 · h-index 10

Impact in

Papers in

    • SARS-CoV-2 and COVID-19 Research 10
    • COVID-19 Clinical Research Studies 9
    • SARS-CoV-2 detection and testing 5
    • Blood disorders and treatments 3

Lisa Weidner

19 papers receiving 307 citations

Peers

Lisa Weidner
Comparison fields: 5 of 63
  • Infectious Diseases 245
  • Developmental Biology 6
  • Public Health, Environmental and Occupational Health 78
  • Modeling and Simulation 12
  • Obstetrics and Gynecology 17
Replace Tzong‐Shi Chiueh with:
Tzong‐Shi Chiueh Taiwan
Danielle Bastos Araújo Brazil
Rafael Rahal Guaragna Machado Brazil
Marisa Ailin Hong Brazil
Liliana Encinales United States
Eric Carlin United States
Dane Granger United States
Sharton Vinícius Antunes Coelho Brazil
Carolina Lucas United States
Gabriele Anichini Italy
Lisa Weidner relative to Tzong‐Shi Chiueh Taiwan Tzong‐Shi Chiueh's profile →
Citations per field
00.5×2.6×
Tzong‐Shi Chiueh · 1×
Citations per year

Countries citing papers authored by Lisa Weidner

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Weidner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 202093
2 201876
3 202021
4 202318
5 201716
6 201714
7 202112
8 202212
9 202211
10 202311
11 20236
12 20215
13 20244
14 20203
15 20213
16 20212
17 20221
18 20251
19 20231

About Lisa Weidner

Lisa Weidner is a scholar working on Infectious Diseases, Genetics, Hematology, Molecular Biology and Genetics, having authored 19 papers that have together received 310 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (10 papers), COVID-19 Clinical Research Studies (9 papers), SARS-CoV-2 detection and testing (5 papers), Blood groups and transfusion (3 papers), Blood disorders and treatments (3 papers), Blood transfusion and management (2 papers), Hepatitis B Virus Studies (2 papers) and COVID-19 Impact on Reproduction (2 papers). The work is most often cited by research in Infectious Diseases (245 citations), Developmental Biology (6 citations), Public Health, Environmental and Occupational Health (78 citations), Modeling and Simulation (12 citations) and Obstetrics and Gynecology (17 citations). Lisa Weidner has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Christof Jungbauer, Lukas Weseslindtner, Thomas R. Kreil, Volker Witt, Maria R. Farcet, Karin Stiasny, Judith H. Aberle, Alexander Zoufaly, Stephan W. Aberle and Norbert Nowotny. Their work appears in journals such as Transfusion, Infectious Diseases, Clinical Chemistry and Laboratory Medicine (CCLM), Frontiers in Veterinary Science and BMC Infectious Diseases.

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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