Hans G. Heine

2.4k total citations
48 papers, 1.7k citations indexed

About

Hans G. Heine is a scholar working on Epidemiology, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, Hans G. Heine has authored 48 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Epidemiology, 11 papers in Molecular Biology and 10 papers in Agronomy and Crop Science. Recurrent topics in Hans G. Heine's work include Virology and Viral Diseases (18 papers), Influenza Virus Research Studies (11 papers) and Animal Disease Management and Epidemiology (10 papers). Hans G. Heine is often cited by papers focused on Virology and Viral Diseases (18 papers), Influenza Virus Research Studies (11 papers) and Animal Disease Management and Epidemiology (10 papers). Hans G. Heine collaborates with scholars based in Australia, United States and Germany. Hans G. Heine's co-authors include Che-Sheng Chung, Wen Chang, Ahmed A. Azad, D. B. Boyle, Adam J. Foord, Matthew P. Stevens, P. W. Selleck, Deborah Middleton, Thomas Ferenci and Alex D. Hyatt and has published in prestigious journals such as Journal of Virology, Journal of Bacteriology and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Hans G. Heine

46 papers receiving 1.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hans G. Heine Australia 24 1.1k 445 404 390 327 48 1.7k
Giuseppe Bertoni Switzerland 25 903 0.9× 576 1.3× 367 0.9× 263 0.7× 411 1.3× 77 2.0k
Teshome Mebatsion Germany 20 1.4k 1.3× 840 1.9× 290 0.7× 1.0k 2.6× 478 1.5× 29 2.3k
Brian J. Shiell Australia 22 649 0.6× 187 0.4× 516 1.3× 556 1.4× 135 0.4× 53 1.5k
Hector C. Aguilar United States 29 2.0k 1.9× 391 0.9× 769 1.9× 1.1k 2.7× 337 1.0× 63 2.9k
Guan‐Zhu Han China 24 723 0.7× 121 0.3× 655 1.6× 492 1.3× 371 1.1× 69 2.4k
Kiyoshi Tanabayashi Japan 21 676 0.6× 169 0.4× 305 0.8× 241 0.6× 359 1.1× 52 1.1k
Keizō Tomonaga Japan 33 1.7k 1.6× 776 1.7× 736 1.8× 1.1k 2.9× 738 2.3× 162 3.2k
Walter Fuchs Germany 35 3.1k 3.0× 221 0.5× 524 1.3× 376 1.0× 534 1.6× 120 3.7k
Scott J. Goebel United States 25 1.0k 1.0× 1.0k 2.3× 666 1.6× 620 1.6× 547 1.7× 30 2.4k
Songtao Yang China 26 582 0.5× 355 0.8× 460 1.1× 863 2.2× 336 1.0× 92 1.8k

Countries citing papers authored by Hans G. Heine

Since Specialization
Citations

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

Fields of papers citing papers by Hans G. Heine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hans G. Heine. 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 Hans G. Heine. The network helps show where Hans G. Heine may publish in the future.

Co-authorship network of co-authors of Hans G. Heine

This figure shows the co-authorship network connecting the top 25 collaborators of Hans G. Heine. A scholar is included among the top collaborators of Hans G. Heine based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hans G. Heine. Hans G. Heine is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Heine, Hans G., Adam J. Foord, Jianning Wang, et al.. (2015). Detection of highly pathogenic zoonotic influenza virus H5N6 by reverse-transcriptase quantitative polymerase chain reaction. Virology Journal. 12(1). 18–18. 46 indexed citations
2.
Boyd, Victoria, et al.. (2010). Detection of Influenza A Virus Neuraminidase and PB2 Gene Segments by One Step Reverse Transcription Polymerase Chain Reaction. Methods in molecular biology. 630. 65–81. 2 indexed citations
3.
Kittelberger, Reinhold, et al.. (2010). Comparative evaluation of four competitive/blocking ELISAs for the detection of influenza A antibodies in horses. Veterinary Microbiology. 148(2-4). 377–383. 13 indexed citations
4.
Heine, Hans G., Ina Smith, Victoria Boyd, et al.. (2009). Design and evaluation of consensus PCR assays for henipaviruses. Journal of Virological Methods. 161(1). 52–57. 40 indexed citations
5.
Müller, Janine, Adam J. Foord, Olan Dolezal, et al.. (2009). Improvement of a recombinant antibody-based serological assay for foot-and-mouth disease virus. Journal of Immunological Methods. 352(1-2). 81–88. 4 indexed citations
6.
Heine, Hans G., et al.. (2007). Rapid Detection of Highly Pathogenic Avian Influenza H5N1 Virus by TaqMan Reverse Transcriptase–Polymerase Chain Reaction. Avian Diseases. 51(s1). 370–372. 58 indexed citations
7.
Heine, Hans G., et al.. (2007). A serological and virological survey for evidence of infection with Newcastle disease virus in Australian chicken farms. Australian Veterinary Journal. 85(6). 236–242. 9 indexed citations
8.
Pallister, Jackie, et al.. (2007). Development of real‐time PCR assays for the detection and differentiation of Australian and European ranaviruses. Journal of Fish Diseases. 30(7). 427–438. 55 indexed citations
9.
Heine, Hans G., et al.. (2003). RT‐PCR amplification and BmrI restriction digestion for the rapid detection of exotic strains of infectious bursal disease virus. Australian Veterinary Journal. 81(3). 162–164. 1 indexed citations
10.
11.
Selleck, P. W., et al.. (2000). Vaccinating chickens against avian influenza with fowlpox recombinants expressing the H7 haemagglutinin. Australian Veterinary Journal. 78(1). 44–48. 30 indexed citations
12.
Heine, Hans G., et al.. (1999). A capripoxvirus detection PCR and antibody ELISA based on the major antigen P32, the homolog of the vaccinia virus H3L gene. Journal of Immunological Methods. 227(1-2). 187–196. 137 indexed citations
13.
14.
Hertig, Christian, Alex D. Hyatt, Steven Davis, et al.. (1996). Vaccinia virus-expressed bovine ephemeral fever virus G but not GNS glycoprotein induces neutralizing antibodies and protects against experimental infection. Journal of General Virology. 77(4). 631–640. 38 indexed citations
15.
Boyle, David B. & Hans G. Heine. (1994). Influence of dose and route of inoculation on responses of chickens to recombinant fowlpox virus vaccines. Veterinary Microbiology. 41(1-2). 173–181. 11 indexed citations
16.
17.
Azad, Ahmed A., Neil M. McKern, Ian Macreadie, et al.. (1991). Physicochemical and immunological characterization of recombinant host-protective antigen (VP2) of infectious bursal disease virus. Vaccine. 9(10). 715–722. 42 indexed citations
18.
Macreadie, Ian, Paul Vaughan, A. J. Chapman, et al.. (1990). Passive protection against infectious bursal disease virus by viral VP2 expressed in yeast. Vaccine. 8(6). 549–552. 51 indexed citations
19.
Müller, Norbert, Hans G. Heine, & Winfried Boos. (1982). Cloning of mglB, the structural gene for the galactose-binding protein of Salmonella typhimurium and Escherichia coli. Molecular and General Genetics MGG. 185(3). 473–480. 13 indexed citations
20.
Shields, Joan E., et al.. (1974). Photochemical cycloadditions of maleic anhydride and some derivatives to acenaphthylene. New route to pleiadienes. The Journal of Organic Chemistry. 39(4). 515–520. 16 indexed citations

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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