Jesse Huang

1.3k citations
19 papers · 475 · h-index 11

Impact in

Papers in

    • Multiple Sclerosis Research Studies 8
    • Systemic Sclerosis and Related Diseases 2
    • Reproductive System and Pregnancy 2
    • T-cell and Retrovirus Studies 2
    • Psoriasis: Treatment and Pathogenesis 2

Jesse Huang

19 papers receiving 468 citations

Peers

Jesse Huang
Comparison fields: 5 of 85
  • Biological Psychiatry 33
  • Pathology and Forensic Medicine 191
  • Neurology 63
  • Immunology 124
  • Behavioral Neuroscience 13
Replace Nikola Živković with:
Nikola Živković Serbia
Т И Хайбуллин Russia
Vijay K. Ulaganathan Germany
Eleonora Piras Italy
Anne Willing Germany
Aparna Shetty United States
Silvia Seubert Germany
Emanuela Tumini Spain
Tianrong Yeo Singapore
Andrea Cabibbo Italy
Jesse Huang relative to Nikola Živković Serbia Nikola Živković's profile →
Citations per field
00.5×1.5×2.2×
Nikola Živković · 1×
Citations per year

Countries citing papers authored by Jesse Huang

Since Specialization
Citations

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

Fields of papers citing papers by Jesse Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2020124
2 2019107
3 202059
4 202227
5 202122
6 202122
7 202320
8 202017
9 202313
10 202113
11 202211
12 20189
13 20248
14 20217
15 20226
16 20213
17 20213
18 20232
19 20222

About Jesse Huang

Jesse Huang is a scholar working on Pathology and Forensic Medicine, Immunology, Molecular Biology, Geometry and Topology and Behavioral Neuroscience, having authored 19 papers that have together received 475 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (8 papers), Systemic Sclerosis and Related Diseases (2 papers), Algebraic structures and combinatorial models (2 papers), Reproductive System and Pregnancy (2 papers), Polyomavirus and related diseases (2 papers), T-cell and Retrovirus Studies (2 papers), Psoriasis: Treatment and Pathogenesis (2 papers) and Algebraic Geometry and Number Theory (2 papers). The work is most often cited by research in Biological Psychiatry (33 citations), Pathology and Forensic Medicine (191 citations), Neurology (63 citations), Immunology (124 citations) and Behavioral Neuroscience (13 citations). Jesse Huang has collaborated with scholars based in Sweden, Germany and United States. Frequent co-authors include Ingrid Kockum, Tomas Olsson, Fredrik Piehl, Mohsen Khademi, Lars Alfredsson, Pernilla Stridh, Jan Hillert, Örjan Lindhe, Markus Axelsson and Lenka Novakova. Their work appears in journals such as Scientific Reports, Brain, Frontiers in Immunology, Proceedings of the National Academy of Sciences and Multiple Sclerosis and Related Disorders.

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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