Fei‐Man Hsu

982 total citations
25 papers, 540 citations indexed

About

Fei‐Man Hsu is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Fei‐Man Hsu has authored 25 papers receiving a total of 540 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 8 papers in Plant Science and 6 papers in Genetics. Recurrent topics in Fei‐Man Hsu's work include Epigenetics and DNA Methylation (9 papers), Reproductive Biology and Fertility (5 papers) and Plant Molecular Biology Research (4 papers). Fei‐Man Hsu is often cited by papers focused on Epigenetics and DNA Methylation (9 papers), Reproductive Biology and Fertility (5 papers) and Plant Molecular Biology Research (4 papers). Fei‐Man Hsu collaborates with scholars based in United States, Taiwan and Japan. Fei‐Man Hsu's co-authors include Pao‐Yang Chen, Ming‐Ren Yen, Amander T. Clark, Tsotne Chitiashvili, Wen‐Wei Liao, Larry Lam, Erica C. Pandolfi, Kathrin Plath, Iris Dror and Katja Schenke‐Layland and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Fei‐Man Hsu

20 papers receiving 537 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fei‐Man Hsu United States	11	395	148	137	52	50	25	540
Barbara Arbeithuber Austria	11	386 1.0×	99 0.7×	213 1.6×	34 0.7×	39 0.8×	24	543
Jingyi Li China	5	551 1.4×	80 0.5×	74 0.5×	76 1.5×	88 1.8×	7	617
Cristina E. Requena United Kingdom	11	432 1.1×	53 0.4×	125 0.9×	50 1.0×	102 2.0×	11	541
Mary-Ann Mastrangelo United States	10	537 1.4×	66 0.4×	214 1.6×	54 1.0×	61 1.2×	10	622
Zhaohua Li China	8	339 0.9×	76 0.5×	111 0.8×	40 0.8×	10 0.2×	15	463
Jiqing Yin China	11	471 1.2×	35 0.2×	104 0.8×	61 1.2×	194 3.9×	20	587
Sneha Mani United States	9	176 0.4×	67 0.5×	42 0.3×	122 2.3×	80 1.6×	20	400
Shuxian Feng China	11	140 0.4×	86 0.6×	30 0.2×	26 0.5×	21 0.4×	18	304
Kenji Funaki Japan	9	176 0.4×	124 0.8×	105 0.8×	58 1.1×	94 1.9×	16	355
Charles O. Boyd United States	8	321 0.8×	80 0.5×	32 0.2×	17 0.3×	37 0.7×	10	498

Countries citing papers authored by Fei‐Man Hsu

Since Specialization

Citations

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

Fields of papers citing papers by Fei‐Man Hsu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fei‐Man Hsu. 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 Fei‐Man Hsu. The network helps show where Fei‐Man Hsu may publish in the future.

Co-authorship network of co-authors of Fei‐Man Hsu

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

All Works

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20 of 20 papers shown

Hsu, Fei‐Man, Harry Pickering, Liudmilla Rubbi, et al.. (2025). DNA methylation predicts infection risk in kidney transplant recipients. Life Science Alliance. 8(7). e202403124–e202403124.

Wamaitha, Sissy E., Fei‐Man Hsu, Enrique Sosa, et al.. (2025). Defining the cell and molecular origins of the primate ovarian reserve. Nature Communications. 16(1). 7539–7539. 1 indexed citations

Hsu, Fei‐Man, Liudmilla Rubbi, Michael J. Thompson, et al.. (2024). An epigenetic human cytomegalovirus infection score predicts viremia risk in seropositive lung transplant recipients. Epigenetics. 19(1). 2408843–2408843.

Hsu, Fei‐Man, et al.. (2023). TET1 facilitates specification of early human lineages including germ cells. iScience. 26(7). 107191–107191. 4 indexed citations

Sosa, Enrique, et al.. (2023). Reconstituted ovaries self-assemble without an ovarian surface epithelium. Stem Cell Reports. 18(11). 2190–2202. 3 indexed citations

Pandolfi, Erica C., Fei‐Man Hsu, Yi Zheng, et al.. (2022). In vitro germ cell induction from fertile and infertile monozygotic twin research participants. Cell Reports Medicine. 3(10). 100782–100782. 6 indexed citations

Chen, Cheng‐Yi, et al.. (2022). Studying Annelida Regeneration in a Novel Model Organism: The Freshwater Aeolosoma viride. Methods in molecular biology. 2450. 179–194.

Xiang, Xinyu, Yu Tao, Fei‐Man Hsu, et al.. (2022). Human reproduction is regulated by retrotransposons derived from ancient Hominidae-specific viral infections. Nature Communications. 13(1). 463–463. 29 indexed citations

Yen, Ming‐Ren, Fei‐Man Hsu, Tsotne Chitiashvili, et al.. (2022). EED is required for mouse primordial germ cell differentiation in the embryonic gonad. Developmental Cell. 57(12). 1482–1495.e5. 16 indexed citations

10.

Chitiashvili, Tsotne, Fei‐Man Hsu, Iris Dror, Kathrin Plath, & Amander T. Clark. (2022). FGFR3 is expressed by human primordial germ cells and is repressed after meiotic initiation to form primordial oocytes. Stem Cell Reports. 17(6). 1268–1278. 7 indexed citations

11.

Chitiashvili, Tsotne, Iris Dror, Rachel Kim, et al.. (2020). Female human primordial germ cells display X-chromosome dosage compensation despite the absence of X-inactivation. Nature Cell Biology. 22(12). 1436–1446. 54 indexed citations

12.

Tello-Ruiz, Marcela K, Cristina F. Marco, Fei‐Man Hsu, et al.. (2019). Double triage to identify poorly annotated genes in maize: The missing link in community curation. PLoS ONE. 14(10). e0224086–e0224086. 7 indexed citations

13.

Hsu, Fei‐Man, Rachel Wang, & Pao‐Yang Chen. (2018). Reduced Representation Bisulfite Sequencing in Maize. BIO-PROTOCOL. 8(6). e2778–e2778.

14.

Hou, Jie, Xiaowen Shi, Adam F. Johnson, et al.. (2018). Global impacts of chromosomal imbalance on gene expression in Arabidopsis and other taxa. Proceedings of the National Academy of Sciences. 115(48). E11321–E11330. 42 indexed citations

15.

Hsu, Fei‐Man & Pao‐Yang Chen. (2017). Game theory in epigenetic reprogramming. Physics of Life Reviews. 20. 143–145. 1 indexed citations

16.

Chen, Pao‐Yang, Fei‐Man Hsu, Wen‐Wei Liao, et al.. (2017). A termite symbiotic mushroom maximizing sexual activity at growing tips of vegetative hyphae. Botanical studies. 58(1). 39–39. 8 indexed citations

17.

Hsu, Fei‐Man, et al.. (2017). Optimized reduced representation bisulfite sequencing reveals tissue-specific mCHH islands in maize. Epigenetics & Chromatin. 10(1). 42–42. 12 indexed citations

18.

Wu, Mengying, et al.. (2017). H2B ubiquitylation and the histone chaperone Asf1 cooperatively mediate the formation and maintenance of heterochromatin silencing. Nucleic Acids Research. 45(14). 8225–8238. 12 indexed citations

19.

Chen, Pao‐Yang, Alison Chu, Wen‐Wei Liao, et al.. (2017). Prenatal Growth Patterns and Birthweight Are Associated With Differential DNA Methylation and Gene Expression of Cardiometabolic Risk Genes in Human Placentas: A Discovery-Based Approach. Reproductive Sciences. 25(4). 523–539. 40 indexed citations

20.

Hsu, Fei‐Man, et al.. (2016). Profiling genome-wide DNA methylation. Epigenetics & Chromatin. 9(1). 26–26. 228 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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