Nina Ha

511 total citations
17 papers, 424 citations indexed

About

Nina Ha is a scholar working on Molecular Biology, Oncology and Neurology. According to data from OpenAlex, Nina Ha has authored 17 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Neurology. Recurrent topics in Nina Ha's work include Histone Deacetylase Inhibitors Research (11 papers), Signaling Pathways in Disease (6 papers) and Peptidase Inhibition and Analysis (4 papers). Nina Ha is often cited by papers focused on Histone Deacetylase Inhibitors Research (11 papers), Signaling Pathways in Disease (6 papers) and Peptidase Inhibition and Analysis (4 papers). Nina Ha collaborates with scholars based in South Korea, Puerto Rico and Mexico. Nina Ha's co-authors include Young Il Choi, Jin Kyun Park, Yeong Wook Song, Eun Wha Choi, Sungjoo Kim, Eun Young Lee, Eun Bong Lee, Hyun Jung Yoo, Dong‐Hyeon Suh and Sung‐Chul Jung and has published in prestigious journals such as Scientific Reports, British Journal of Pharmacology and Bioorganic & Medicinal Chemistry.

In The Last Decade

Nina Ha

17 papers receiving 418 citations

Peers

Nina Ha
Comparison fields: 5 of 68
  • Molecular Biology 281
  • Oncology 117
  • Cellular and Molecular Neuroscience 69
  • Immunology 55
  • Rheumatology 44
Replace Alexandra Wolf with:
Alexandra Wolf Germany
M. Girós Spain
Joe K. Tung United States
Jaya Gautam South Korea
Allison S. Limpert United States
K. A. Barzen United States
Jacint Boix Spain
Sofia Zanin Italy
Joo Hong Woo South Korea
Ann K. Heinzer United States
Alexandra Wolf Germany View profile →
Citations per field, relative to Nina Ha
Nina Ha · 1×
Citations per year, relative to Nina Ha
Nina Ha · 1×

Countries citing papers authored by Nina Ha

Since Specialization
Citations

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

Fields of papers citing papers by Nina Ha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Ha

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

All Works

17 of 17 papers shown
# Work Indexed citations
1 5
2 20
3 17
4 25
5 17
6 9
7 41
8 23
9 39
10 52
11 58
12 47
13 9
14 18
15 34
16
Effect of Hwangryunhaedok-tang and its modified prescription on the recovery of spatial cognitive function in the brain ischemia induced by four-vessel occlusion in rats
4
17
Neuroprotective Effect of Angelica gigas Extracts on the Brain Ischemia Induced by Four-Vessel Occlusion in Rats
6

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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2026