Thomas J Ha

4.7k citations
18 papers · 312 · h-index 10

Impact in

Papers in

    • RNA Research and Splicing 6
    • Genomics and Chromatin Dynamics 3
    • Hedgehog Signaling Pathway Studies 2
    • Single-cell and spatial transcriptomics 1
    • Cancer-related molecular mechanisms research 4

Thomas J Ha

16 papers receiving 307 citations

Peers

Thomas J Ha
Comparison fields: 5 of 67
  • Cellular and Molecular Neuroscience 114
  • Developmental Neuroscience 24
  • Cancer Research 47
  • Molecular Biology 179
  • Aging 4
Replace Carissa J. Dunn with:
Carissa J. Dunn United States
Nico Angliker Switzerland
Jurjen H. Broeke Netherlands
Olga Varea Spain
Naosuke Hoshina Japan
Bożena Kuźniewska Poland
Lena Constantin Australia
Hyun–Taek Kim South Korea
Francesca Cargnin United States
Derek J.C. Tai United States
Thomas J Ha relative to Carissa J. Dunn United States Carissa J. Dunn's profile →
Citations per field
00.5×1.5×2.5×
Carissa J. Dunn · 1×
Citations per year

Countries citing papers authored by Thomas J Ha

Since Specialization
Citations

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

Fields of papers citing papers by Thomas J Ha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas J Ha. 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 Thomas J Ha. The network helps show where Thomas J Ha may publish in the future.

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 200656
2 201145
3 200744
4 201430
5 201724
6 200223
7 201420
8 201215
9 201911
10 201511
11 20149
12 20118
13
Mechanism of vertebral fracture in the F/FB-111 ejection experience.
19826
14 20195
15 20183
16 20242
17 20190
18
Television as a teaching medium in surgical education.
19650

About Thomas J Ha

Thomas J Ha is a scholar working on Molecular Biology, Cancer Research, Genetics, Cellular and Molecular Neuroscience and Pulmonary and Respiratory Medicine, having authored 18 papers that have together received 312 indexed citations. Recurring topics across this work include RNA Research and Splicing (6 papers), Cancer-related molecular mechanisms research (4 papers), Genomics and Chromatin Dynamics (3 papers), Hedgehog Signaling Pathway Studies (2 papers), Neurobiology and Insect Physiology Research (2 papers), Lung Cancer Treatments and Mutations (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (114 citations), Developmental Neuroscience (24 citations), Cancer Research (47 citations), Molecular Biology (179 citations) and Aging (4 citations). Thomas J Ha has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Dan Goldowitz, Leonid L. Moroz, Douglas J. Swanson, Yelena Bobkova, Yiai Tong, Andrea B. Kohn, Irina Antonova, Robert D. Hawkins, Peter Zhang and Igor Antonov. Their work appears in journals such as BMC Genomics, Journal of Neuroscience, Journal of Clinical Oncology, Archives of Pathology & Laboratory Medicine and The Cerebellum.

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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