Bernd Haas

32 papers receiving 829 citations

Peers

Bernd Haas
Comparison fields: 5 of 60
  • Endocrinology 151
  • Agronomy and Crop Science 297
  • Ecology, Evolution, Behavior and Systematics 224
  • Cardiology and Cardiovascular Medicine 253
  • Animal Science and Zoology 85
Replace Fabrizio Di Pinto with:
Fabrizio Di Pinto France
Li-na Ma China
Sylvester Ochwo Uganda
Andy Haegeman Belgium
Mauricio J. C. Coppo Australia
María José Dus Santos Argentina
Akio Fukusho Japan
Yun‐Long Tsai Taiwan
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Analía Berinstein Argentina
Bernd Haas relative to Fabrizio Di Pinto France Fabrizio Di Pinto's profile →
Citations per field
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Citations per year

Countries citing papers authored by Bernd Haas

Since Specialization
Citations

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

Fields of papers citing papers by Bernd Haas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013176
2 1985167
3 200358
4 200955
5 200352
6 198347
7 199033
8 199528
9 201426
10 200324
11 201122
12 200819
13 201218
14 198916
15 198914
16 199413
17 201913
18 201111
19 200510
20 20128

About Bernd Haas

Bernd Haas is a scholar working on Agronomy and Crop Science, Cardiology and Cardiovascular Medicine, Ecology, Evolution, Behavior and Systematics, Molecular Biology and Plant Science, having authored 32 papers that have together received 861 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (18 papers), Viral Infections and Immunology Research (16 papers), Vector-Borne Animal Diseases (15 papers), Plant Virus Research Studies (4 papers), Plant Disease Resistance and Genetics (4 papers), Plant and Fungal Interactions Research (3 papers), Viral gastroenteritis research and epidemiology (3 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Endocrinology (151 citations), Agronomy and Crop Science (297 citations), Ecology, Evolution, Behavior and Systematics (224 citations), Cardiology and Cardiovascular Medicine (253 citations) and Animal Science and Zoology (85 citations). Bernd Haas has collaborated with scholars based in Germany, United Kingdom and Belgium. Frequent co-authors include Heinz L. Sänger, Martina Schnölzer, Karla Ramm, Hans Hofmann, Mohamed El‐Tholoth, Bernd Hoffmann, Mohamed A. Shalaby, Sayed M. Hassan, Manfred Weidmann and Ayman H. El‐Deeb. Their work appears in journals such as Vaccine, European Journal of Biochemistry, Veterinary Microbiology, Bioscience Reports and International Journal of Food Microbiology.

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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