Michael H. Hsieh

111 papers receiving 3.1k citations

Peers

Michael H. Hsieh
Comparison fields: 5 of 138
  • Parasitology 830
  • Urology 184
  • Small Animals 168
  • Immunology 381
  • Pediatrics, Perinatology and Child Health 314
Replace Hao Wen with:
Hao Wen China
James C. Wright United States
Jody L. Gookin United States
Alan P. Hudson United States
André Gessner Germany
Glen C. Ulett Australia
Richard P. Darveau United States
Ken Cadwell United States
Dominik Hartl Germany
Stefan Hippenstiel Germany
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Citations per field
00.5×9.0×
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Citations per year

Countries citing papers authored by Michael H. Hsieh

Since Specialization
Citations

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

Fields of papers citing papers by Michael H. Hsieh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael H. Hsieh, 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 Michael H. Hsieh Line = papers co-authored together Michael H. Hsieh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015288
2 1993186
3 2016158
4 2014146
5 2015131
6 201693
7 201285
8 200283
9 201781
10 202077
11
Generation of DC from mouse spleen cell cultures in response to GM-CSF: immunophenotypic and functional analyses.
199571
12 201870
13 201569
14 201665
15 201859
16 201455
17 201854
18 201744
19 200644
20 200744

About Michael H. Hsieh

Michael H. Hsieh is a scholar working on Parasitology, Ecology, Epidemiology, Pediatrics, Perinatology and Child Health and Molecular Biology, having authored 113 papers that have together received 3.1k indexed citations. Recurring topics across this work include Parasites and Host Interactions (43 papers), Parasite Biology and Host Interactions (17 papers), Urinary Tract Infections Management (14 papers), Pediatric Urology and Nephrology Studies (10 papers), Amoebic Infections and Treatments (10 papers), Gut microbiota and health (8 papers), Hematopoietic Stem Cell Transplantation (7 papers) and Helminth infection and control (7 papers). The work is most often cited by research in Parasitology (830 citations), Urology (184 citations), Small Animals (168 citations), Immunology (381 citations) and Pediatrics, Perinatology and Child Health (314 citations). Michael H. Hsieh has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Justin I. Odegaard, Chi-Ling Fu, Jared Honeycutt, Joseph W. Chow, Ethan Matz, Victor L. Yu, Vishal Sharma, Ramachandran Murali, Aida Habtezion and Stephen J. Pandol. Their work appears in journals such as The Journal of Urology, PLoS neglected tropical diseases, Urology, Journal of Visualized Experiments and Blood.

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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