Anne Kiang

1.9k total citations
8 papers, 625 citations indexed

About

Anne Kiang is a scholar working on Genetics, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Anne Kiang has authored 8 papers receiving a total of 625 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Genetics, 3 papers in Molecular Biology and 2 papers in Infectious Diseases. Recurrent topics in Anne Kiang's work include Virus-based gene therapy research (4 papers), Autoimmune Neurological Disorders and Treatments (1 paper) and interferon and immune responses (1 paper). Anne Kiang is often cited by papers focused on Virus-based gene therapy research (4 papers), Autoimmune Neurological Disorders and Treatments (1 paper) and interferon and immune responses (1 paper). Anne Kiang collaborates with scholars based in United States, Malaysia and Poland. Anne Kiang's co-authors include Igor B. Dawid, Zachary C. Hartman, Delila Serra, Ruth Everett, Andrea Amalfitano, Eric S. Weinberg, S. Maegawa, Michael Tsang, Raymond Habas and Jonathan A. Epstein and has published in prestigious journals such as Development, Journal of Virology and Scientific Reports.

In The Last Decade

Anne Kiang

8 papers receiving 620 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anne Kiang United States	7	432	269	116	114	112	8	625
Papia Chakraborty United States	11	428 1.0×	135 0.5×	90 0.8×	88 0.8×	113 1.0×	14	690
Gregory E. Tullis United States	17	661 1.5×	442 1.6×	220 1.9×	57 0.5×	64 0.6×	20	1.0k
Ralf Wienecke Germany	13	520 1.2×	139 0.5×	90 0.8×	74 0.6×	122 1.1×	20	1.2k
Normand Groulx Canada	7	634 1.5×	149 0.6×	78 0.7×	72 0.6×	215 1.9×	8	905
Patrick Champion-Arnaud France	13	753 1.7×	290 1.1×	50 0.4×	51 0.4×	130 1.2×	15	896
Marja E. Jakobs Netherlands	14	260 0.6×	130 0.5×	75 0.6×	153 1.3×	63 0.6×	27	769
Yoshiaki Hatano Japan	15	467 1.1×	61 0.2×	100 0.9×	185 1.6×	62 0.6×	31	847
Mark Dixon United Kingdom	8	610 1.4×	186 0.7×	28 0.2×	131 1.1×	124 1.1×	8	800
Eric A. Sherman United States	8	263 0.6×	176 0.7×	54 0.5×	107 0.9×	27 0.2×	9	449
Hideki Tani Japan	7	526 1.2×	84 0.3×	46 0.4×	54 0.5×	258 2.3×	8	680

Countries citing papers authored by Anne Kiang

Since Specialization

Citations

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

Fields of papers citing papers by Anne Kiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anne Kiang

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

All Works

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8 of 8 papers shown

1.

Kiang, Anne, et al.. (2024). Insights into genomic sequence diversity of the SAG surface antigen superfamily in geographically diverse Eimeria tenella isolates. Scientific Reports. 14(1). 26251–26251. 3 indexed citations

2.

Kiang, Anne, Hao Jiang, Sergey S. Seregin, et al.. (2008). Wild-type adenoviruses from groups A–F evoke unique innate immune responses, of which HAd3 and SAd23 are partially complement dependent. Gene Therapy. 15(12). 885–901. 42 indexed citations

3.

Seregin, Sergey S., Jeannine M. Scott, Nathaniel J. Schuldt, et al.. (2008). Complex interactions with several arms of the complement system dictate innate and humoral immunity to adenoviral vectors. Gene Therapy. 15(24). 1606–1617. 62 indexed citations

4.

Kiang, Anne, Zachary C. Hartman, Ruth Everett, et al.. (2006). Multiple Innate Inflammatory Responses Induced after Systemic Adenovirus Vector Delivery Depend on a Functional Complement System. Molecular Therapy. 14(4). 588–598. 76 indexed citations

5.

Hartman, Zachary C., Anne Kiang, Ruth Everett, et al.. (2006). Adenovirus Infection Triggers a Rapid, MyD88-Regulated Transcriptome Response Critical to Acute-Phase and Adaptive Immune Responses In Vivo. Journal of Virology. 81(4). 1796–1812. 116 indexed citations

6.

Kiang, Anne, Zachary C. Hartman, Fang Xu, et al.. (2005). Fully Deleted Adenovirus Persistently Expressing GAA Accomplishes Long-Term Skeletal Muscle Glycogen Correction in Tolerant and Nontolerant GSD-II Mice. Molecular Therapy. 13(1). 127–134. 36 indexed citations

7.

Tsang, Michael, S. Maegawa, Anne Kiang, et al.. (2004). A role for MKP3 in axial patterning of the zebrafish embryo. Development. 131(12). 2769–2779. 106 indexed citations

8.

Kudoh, Tetsuhiro, Neil A. Hukriede, Xiongfong Chen, et al.. (2001). A Gene Expression Screen in Zebrafish Embryogenesis. Genome Research. 11(12). 1979–1987. 184 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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