Hae J. Park

931 total citations · 1 hit paper
8 papers, 739 citations indexed

About

Hae J. Park is a scholar working on Molecular Biology, Hematology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Hae J. Park has authored 8 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Hematology and 2 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Hae J. Park's work include Acute Myeloid Leukemia Research (4 papers), Ion Transport and Channel Regulation (4 papers) and Histone Deacetylase Inhibitors Research (2 papers). Hae J. Park is often cited by papers focused on Acute Myeloid Leukemia Research (4 papers), Ion Transport and Channel Regulation (4 papers) and Histone Deacetylase Inhibitors Research (2 papers). Hae J. Park collaborates with scholars based in United States, China and Mexico. Hae J. Park's co-authors include James A. McCormick, David H. Ellison, Andrew S. Terker, Chao-Ling Yang, Nicholas P. Meermeier, Rebecca Lazelle, Chong Zhang, Wen-Hui Wang, Yi Fu and David Cohen and has published in prestigious journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and Cell Metabolism.

In The Last Decade

Hae J. Park

8 papers receiving 734 citations

Hit Papers

Potassium Modulates Electrolyte Balance and Blood Pressur... 2015 2026 2018 2022 2015 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Potassium Modulates Electrolyte Balance and Blood Pressure through Effects on Distal Cell Voltage and Chloride
    2015 348 citations Andrew S. Terker, Chong Zhang et al. Cell Metabolism profile →

Peers

Hae J. Park
Lesley Wassef United States
Nourdine Faresse Switzerland
Silvia Pomposiello United States
Petra Quass Germany
Mario DeLuise Australia
Talat Afroze Canada
Xianglan Quan South Korea
Daniel A. Richards United States
R. Bryan Klassen United States
Saundra Motley United States
Lesley Wassef United States
Hae J. Park
Citations per year, relative to Hae J. Park Hae J. Park (= 1×) peers Lesley Wassef

Countries citing papers authored by Hae J. Park

Since Specialization
Citations

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

Fields of papers citing papers by Hae J. Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hae J. Park

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

All Works

8 of 8 papers shown
1.
Park, Hae J. & Mark A. Gregory. (2023). Acute myeloid leukemia in elderly patients: New targets, new therapies. SHILAP Revista de lepidopterología. 4(2). 51–73. 2 indexed citations
2.
Park, Hae J., Mark A. Gregory, Vadym Zaberezhnyy, et al.. (2022). Therapeutic resistance in acute myeloid leukemia cells is mediated by a novel ATM/mTOR pathway regulating oxidative phosphorylation. eLife. 11. 18 indexed citations
3.
Park, Hae J., Mark A. Gregory, Vadym Zaberezhnyy, & James DeGregori. (2021). Abstract 1442: Targeting ATM kinase and mTOR signaling reverses bone marrow stromal cell-mediated protection of FLT3-ITD AML from FLT3-targeted therapy. Cancer Research. 81(13_Supplement). 1442–1442. 1 indexed citations
4.
Gregory, Mark A., Travis Nemkov, Hae J. Park, et al.. (2019). Targeting Glutamine Metabolism and Redox State for Leukemia Therapy. Clinical Cancer Research. 25(13). 4079–4090. 127 indexed citations
5.
Terker, Andrew S., Chong Zhang, James A. McCormick, et al.. (2015). Potassium Modulates Electrolyte Balance and Blood Pressure through Effects on Distal Cell Voltage and Chloride. Cell Metabolism. 21(1). 39–50. 348 indexed citations breakdown →
6.
Terker, Andrew S., Mohammed Z. Ferdaus, Rebecca Lazelle, et al.. (2015). Direct and Indirect Mineralocorticoid Effects Determine Distal Salt Transport. Journal of the American Society of Nephrology. 27(8). 2436–2445. 117 indexed citations
7.
McCormick, James A., Chao-Ling Yang, Chong Zhang, et al.. (2014). Hyperkalemic hypertension–associated cullin 3 promotes WNK signaling by degrading KLHL3. Journal of Clinical Investigation. 124(11). 4723–4736. 112 indexed citations
8.
Park, Hae J., Joshua N. Curry, & James A. McCormick. (2013). Regulation of NKCC2 activity by inhibitory SPAK isoforms: KS-SPAK is a more potent inhibitor than SPAK2. American Journal of Physiology-Renal Physiology. 305(12). F1687–F1696. 14 indexed citations

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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