Albert Hsu

1.4k citations
27 papers · 992 · h-index 12

Impact in

Papers in

Albert Hsu

24 papers receiving 954 citations

Peers

Albert Hsu
Comparison fields: 5 of 96
  • Reproductive Medicine 312
  • Obstetrics and Gynecology 255
  • Immunology 370
  • Health 54
  • Pathology and Forensic Medicine 94
Replace Koen De Geest with:
Koen De Geest United States
Eiji Kobayashi Japan
Thomas Buekers United States
Thomas W. Jobling Australia
R C Reiter United States
Kelly L. Bolton United States
Francisco José Cândido dos Reis Brazil
Kristy Ward United States
Eloise Chapman‐Davis United States
Nancy L. Stanwood United States
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Citations per field
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Citations per year

Countries citing papers authored by Albert Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Albert Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Albert Hsu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Albert Hsu Line = papers co-authored together Albert Hsu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997381
2 2010176
3 202083
4 202177
5 201158
6 201055
7
The Danger of Misinformation in the COVID-19 Crisis.
202046
8 201119
9 201817
10 202216
11 202215
12 201713
13 202411
14 202011
15 20202
16 20212
17 20232
18 20031
19
A Summary of Maternal Mortality in Missouri: A Historical Perspective (1999-2018).
20221
20 20131

About Albert Hsu

Albert Hsu is a scholar working on Obstetrics and Gynecology, Reproductive Medicine, Pediatrics, Perinatology and Child Health, Clinical Psychology and Oncology, having authored 27 papers that have together received 992 indexed citations. Recurring topics across this work include COVID-19 Impact on Reproduction (7 papers), Endometriosis Research and Treatment (3 papers), Ovarian function and disorders (2 papers), COVID-19 and Mental Health (2 papers), COVID-19 and healthcare impacts (2 papers), Uterine Myomas and Treatments (2 papers), Maternal and fetal healthcare (2 papers) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Reproductive Medicine (312 citations), Obstetrics and Gynecology (255 citations), Immunology (370 citations), Health (54 citations) and Pathology and Forensic Medicine (94 citations). Albert Hsu has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Pamela Stratton, I. Khachikyan, Susumu Tonegawa, Juan J. Lafaille, Werner Haas, Cedric S. Raine, Jody L. Baron, Lynelle Phillips, David B. Seifer and Ninet Sinaii. Their work appears in journals such as Obstetrics and Gynecology, Fertility and Sterility, Reproductive Biology and Endocrinology, Biomedicines and The Journal of Experimental Medicine.

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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