Songhua Shan

417 total citations
19 papers, 274 citations indexed

About

Songhua Shan is a scholar working on Epidemiology, Animal Science and Zoology and Agronomy and Crop Science. According to data from OpenAlex, Songhua Shan has authored 19 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Epidemiology, 8 papers in Animal Science and Zoology and 7 papers in Agronomy and Crop Science. Recurrent topics in Songhua Shan's work include Influenza Virus Research Studies (11 papers), Animal Virus Infections Studies (8 papers) and Animal Disease Management and Epidemiology (7 papers). Songhua Shan is often cited by papers focused on Influenza Virus Research Studies (11 papers), Animal Virus Infections Studies (8 papers) and Animal Disease Management and Epidemiology (7 papers). Songhua Shan collaborates with scholars based in Australia, China and Chile. Songhua Shan's co-authors include Jian Zou, Frank Wong, David T. Williams, John Bingham, C. Morrissy, Bounlom Douangngeun, Wantanee Kalpravidh, Jianning Wang, T.M. Ellis and Stan Fenwick and has published in prestigious journals such as PLoS ONE, Journal of Virology and Biochemical and Biophysical Research Communications.

In The Last Decade

Songhua Shan

19 papers receiving 264 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Songhua Shan Australia	8	198	150	113	90	29	19	274
Supanat Boonyapisitsopa Thailand	12	194 1.0×	214 1.4×	126 1.1×	136 1.5×	27 0.9×	26	343
Hendra Wibawa Indonesia	12	264 1.3×	119 0.8×	228 2.0×	95 1.1×	35 1.2×	39	348
Andrés Díaz United States	11	212 1.1×	162 1.1×	207 1.8×	101 1.1×	19 0.7×	15	333
Sandra Venema Netherlands	8	227 1.1×	126 0.8×	128 1.1×	47 0.5×	18 0.6×	10	278
Napawan Bunpapong Thailand	13	329 1.7×	276 1.8×	248 2.2×	154 1.7×	34 1.2×	34	490
Yanbo Yin China	11	281 1.4×	165 1.1×	167 1.5×	92 1.0×	41 1.4×	30	386
Alexander Panshin Israel	12	374 1.9×	185 1.2×	237 2.1×	118 1.3×	24 0.8×	27	413
Kosuke Okuya Japan	12	274 1.4×	255 1.7×	176 1.6×	57 0.6×	24 0.8×	42	433
C. Rosignoli Italy	8	136 0.7×	118 0.8×	68 0.6×	122 1.4×	10 0.3×	18	311
Xiaoli Hao China	13	273 1.4×	125 0.8×	152 1.3×	79 0.9×	118 4.1×	27	381

Countries citing papers authored by Songhua Shan

Since Specialization

Citations

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

Fields of papers citing papers by Songhua Shan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Songhua Shan

This figure shows the co-authorship network connecting the top 25 collaborators of Songhua Shan. A scholar is included among the top collaborators of Songhua Shan 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 Songhua Shan. Songhua Shan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

Layton, Daniel, Jeff Butler, Cameron R. Stewart, et al.. (2022). H7N9 bearing a mutation in the nucleoprotein leads to increased pathology in chickens. Frontiers in Immunology. 13. 974210–974210. 3 indexed citations

Shan, Songhua, K. Bruce, Frank Wong, et al.. (2021). In Vitro and In Vivo Characterization of a Pigeon Paramyxovirus Type 1 Isolated from Domestic Pigeons in Victoria, Australia 2011. Viruses. 13(3). 429–429. 7 indexed citations

Nguyen, Thi H. O., Katherine Kedzierska, Jeff Butler, et al.. (2020). The Dynamics of the Ferret Immune Response During H7N9 Influenza Virus Infection. Frontiers in Immunology. 11. 559113–559113. 1 indexed citations

Wille, Michelle, Malet Aban, Jing Wang, et al.. (2019). Antarctic Penguins as Reservoirs of Diversity for Avian Avulaviruses. Journal of Virology. 93(11). 16 indexed citations

Deng, Yi‐Mo, Frank Wong, Natalie Spirason, et al.. (2019). Locally Acquired Human Infection with Swine-Origin Influenza A(H3N2) Variant Virus, Australia, 2018. Emerging infectious diseases. 26(1). 143–147. 18 indexed citations

McCowan, Christina, Sandra Crameri, Songhua Shan, et al.. (2018). A novel group A rotavirus associated with acute illness and hepatic necrosis in pigeons (Columba livia), in Australia. PLoS ONE. 13(9). e0203853–e0203853. 33 indexed citations

Shan, Songhua, T.M. Ellis, John Edwards, Stan Fenwick, & Ian Robertson. (2016). Comparison of Five Expression Vectors for the Ha Gene in Constructing a DNA Vaccine for H6N2 Influenza Virus in Chickens. Advances in Microbiology. 6(4). 310–319. 4 indexed citations

Shan, Songhua, Stan Fenwick, T.M. Ellis, et al.. (2016). Evaluation of different chemical adjuvants on an avian influenza H6 DNA vaccine in chickens. Avian Pathology. 45(6). 649–656. 5 indexed citations

Wong, Frank, Phouvong Phommachanh, Wantanee Kalpravidh, et al.. (2014). Reassortant Highly Pathogenic Influenza A(H5N6) Virus in Laos. Emerging infectious diseases. 21(3). 511–516. 83 indexed citations

10.

Hyatt, Alex D., Songhua Shan, Sandra Crameri, et al.. (2012). Cygnet River Virus, a Novel Orthomyxovirus from Ducks, Australia. Emerging infectious diseases. 18(12). 2044–2046. 11 indexed citations

11.

Shan, Songhua, Yongping Jiang, Zhigao Bu, et al.. (2011). Strategies for improving the efficacy of a H6 subtype avian influenza DNA vaccine in chickens. Journal of Virological Methods. 173(2). 220–226. 16 indexed citations

12.

Shan, Songhua, T.M. Ellis, Stan Fenwick, et al.. (2010). Biological and genetic characterization of a low-pathogenicity avian influenza H6N2 virus originating from a healthy Eurasian coot. Archives of Virology. 155(3). 403–409. 7 indexed citations

13.

Shan, Songhua, Gérrard Eddy Jai Poinern, T.M. Ellis, et al.. (2010). Development of a Nano-vaccine against a Wild Bird H6N2 Avian Influenza Virus. 2(1). 40–43. 7 indexed citations

14.

Zou, Jian, et al.. (2005). Complete Genome Sequence and Biological Characterizations of A Novel Goose Paramyxovirus-SF02 Isolated in China. Virus Genes. 30(1). 13–21. 27 indexed citations

15.

Shan, Songhua, et al.. (2005). Detection of Avian Influenza Virus Subtype H5 Using NASBA. 20(3). 288–292. 1 indexed citations

16.

Shan, Songhua, Richard A. Collins, Zhongliang Wu, et al.. (2003). Comparison of nucleic acid-based detection of avian influenza H5N1 with virus isolation. Biochemical and Biophysical Research Communications. 302(2). 377–383. 23 indexed citations

17.

Shan, Songhua, et al.. (2003). Differentiation of velogenic, mesogenic and lentogenic strains of Newcastle disease virus by multiplex RT‐PCR. Annals of Applied Biology. 142(1). 49–54. 6 indexed citations

18.

Zou, Jian, et al.. (2002). Sequence analysis of F gene of SF02 isolate of goose paramyxovirus and its identification by multiplex RT-PCR.. PubMed. 34(4). 439–44. 5 indexed citations

19.

Shan, Songhua, et al.. (1997). Isolation and identification of Marek^s disease virus stereotype I. 31(2). 183–186. 1 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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