Kai Hsieh

1.3k total citations
8 papers, 1.1k citations indexed

About

Kai Hsieh is a scholar working on Molecular Biology, Biochemistry and Cell Biology. According to data from OpenAlex, Kai Hsieh has authored 8 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Biochemistry and 2 papers in Cell Biology. Recurrent topics in Kai Hsieh's work include Plant Reproductive Biology (4 papers), Lipid metabolism and biosynthesis (3 papers) and Photosynthetic Processes and Mechanisms (3 papers). Kai Hsieh is often cited by papers focused on Plant Reproductive Biology (4 papers), Lipid metabolism and biosynthesis (3 papers) and Photosynthetic Processes and Mechanisms (3 papers). Kai Hsieh collaborates with scholars based in United States and Norway. Kai Hsieh's co-authors include Anthony H. C. Huang, Thomas F.J. Martin, Chandra Ratnayake, Hyun Uk Kim, Yun Kyung Lee, Constantine Londos, Knut Tomas Dalen, Bruce M. Raaka, Alan R. Kimmel and Michael F. Miles and has published in prestigious journals such as Journal of Biological Chemistry, The Plant Cell and PLANT PHYSIOLOGY.

In The Last Decade

Kai Hsieh

8 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kai Hsieh United States	8	773	422	344	114	91	8	1.1k
Antti Pajunen Finland	18	920 1.2×	662 1.6×	74 0.2×	33 0.3×	43 0.5×	50	1.1k
Liza A. Pon United States	8	495 0.6×	184 0.4×	47 0.1×	67 0.6×	86 0.9×	8	797
E. Bobik United States	16	746 1.0×	729 1.7×	106 0.3×	13 0.1×	111 1.2×	29	1.3k
Keke Huo China	21	667 0.9×	95 0.2×	129 0.4×	20 0.2×	51 0.6×	77	1.0k
S.K. Mukerji United States	20	552 0.7×	89 0.2×	147 0.4×	114 1.0×	52 0.6×	42	895
Riitta Sinervirta Finland	22	1.0k 1.3×	553 1.3×	87 0.3×	31 0.3×	30 0.3×	40	1.2k
N Hemington Slovakia	15	667 0.9×	287 0.7×	71 0.2×	16 0.1×	204 2.2×	20	1.1k
Svante Resjö Sweden	16	506 0.7×	102 0.2×	382 1.1×	11 0.1×	101 1.1×	34	947
William J. Driscoll United States	18	389 0.5×	49 0.1×	51 0.1×	66 0.6×	46 0.5×	41	703
Katherine Tamai United States	13	799 1.0×	37 0.1×	115 0.3×	108 0.9×	40 0.4×	18	1.2k

Countries citing papers authored by Kai Hsieh

Since Specialization

Citations

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

Fields of papers citing papers by Kai Hsieh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Hsieh

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Hsieh, Kai, Yun Kyung Lee, Constantine Londos, et al.. (2012). Perilipin family members preferentially sequester to either triacylglycerol- or cholesteryl ester-specific intracellular lipid storage droplets. Journal of Cell Science. 125(Pt 17). 4067–76. 173 indexed citations

2.

Hsieh, Kai & Anthony H. C. Huang. (2007). Tapetosomes in Brassica Tapetum Accumulate Endoplasmic Reticulum–Derived Flavonoids and Alkanes for Delivery to the Pollen Surface. The Plant Cell. 19(2). 582–596. 187 indexed citations

3.

Hsieh, Kai & Anthony H. C. Huang. (2005). Lipid‐rich tapetosomes in Brassica tapetum are composed of oleosin‐coated oil droplets and vesicles, both assembled in and then detached from the endoplasmic reticulum. The Plant Journal. 43(6). 889–899. 72 indexed citations

4.

Hsieh, Kai & Anthony H. C. Huang. (2004). Endoplasmic Reticulum, Oleosins, and Oils in Seeds and Tapetum Cells. PLANT PHYSIOLOGY. 136(3). 3427–3434. 164 indexed citations

5.

Kim, Hyun Uk, Kai Hsieh, Chandra Ratnayake, & Anthony H. C. Huang. (2002). A Novel Group of Oleosins Is Present Inside the Pollen ofArabidopsis. Journal of Biological Chemistry. 277(25). 22677–22684. 147 indexed citations

6.

Sganga, M W, et al.. (2000). Characterization of Promoter Elements Mediating Ethanol Regulation of hsc70 Gene Transcription. Journal of Pharmacology and Experimental Therapeutics. 292(1). 173–180. 29 indexed citations

7.

Hsieh, Kai & Thomas F.J. Martin. (1992). Thyrotropin-releasing hormone and gonadotropin-releasing hormone receptors activate phospholipase C by coupling to the guanosine triphosphate-binding proteins Gq and G11.. Molecular Endocrinology. 6(10). 1673–1681. 204 indexed citations

8.

Martin, Thomas F.J., et al.. (1990). The sustained second phase of hormone-stimulated diacylglycerol accumulation does not activate protein kinase C in GH3 cells.. Journal of Biological Chemistry. 265(13). 7623–7631. 77 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.

Explore authors with similar magnitude of impact