Daniel Schär

1.2k citations
19 papers · 889 · 1 hit paper · h-index 7

Impact in

Papers in

Daniel Schär

17 papers receiving 862 citations

Daniel Schär's Hit Papers

Global trends in antimicrobial use in aquaculture 2020 · 432 citations
4320+2+4Years since publication100200300400

Peers

Daniel Schär
Comparison fields: 5 of 102
  • Applied Microbiology and Biotechnology 81
  • Equine 47
  • Molecular Medicine 146
  • Pollution 325
  • Endocrinology 95
Replace Laura Huber with:
Laura Huber United States
Syed Qaswar Ali Shah Pakistan
Lisa Nonaka Japan
Mianzhi Wang China
Juan Manuel Bello–López Mexico
Sally L. Noll United States
Yuly López Spain
Pham Hong Nhung Vietnam
Ahya Abdi Ali Iran
Katie Tiseo United States
Daniel Schär relative to Laura Huber United States Laura Huber's profile →
Citations per field
00.5×2×3×4×4.5×
Laura Huber · 1×
Citations per year

Countries citing papers authored by Daniel Schär

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Schär

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1
Global trends in antimicrobial use in aquaculture
Hit paper breakdown →
2020432
2 2021179
3 2018107
4 200262
5 201154
6 201713
7 201910
8 20166
9 20145
10 20155
11 20233
12 20193
13 20253
14 20232
15
Bifacial modules used in cable based PV carport applications
20142
16 20041
17 20131
18 20251
19 20240

About Daniel Schär

Daniel Schär is a scholar working on Pollution, Agronomy and Crop Science, Endocrinology, Renewable Energy, Sustainability and the Environment and Public Health, Environmental and Occupational Health, having authored 19 papers that have together received 889 indexed citations. Recurring topics across this work include Zoonotic diseases and public health (3 papers), Animal Disease Management and Epidemiology (3 papers), Pharmaceutical and Antibiotic Environmental Impacts (3 papers), Aquaculture disease management and microbiota (2 papers), Photovoltaic System Optimization Techniques (2 papers), Vibrio bacteria research studies (2 papers), Photovoltaic Systems and Sustainability (1 paper) and Veterinary Orthopedics and Neurology (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (81 citations), Equine (47 citations), Molecular Medicine (146 citations), Pollution (325 citations) and Endocrinology (95 citations). Daniel Schär has collaborated with scholars based in United States, Switzerland and Belgium. Frequent co-authors include Marius Gilbert, Thomas P. Van Boeckel, Ramanan Laxminarayan, Eili Y. Klein, D. G. Joakim Larsson, Yu Wang, Cheng Yi Zhao, Angkana Sommanustweechai, Viroj Tangcharoensathien and Franz Baumgartner. Their work appears in journals such as Scientific Reports, BMC Veterinary Research, EcoHealth, Nature Communications and Progress in Photovoltaics Research and Applications.

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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