Albert H. Kim

11.6k total citations · 1 hit paper
152 papers, 6.3k citations indexed

About

Albert H. Kim is a scholar working on Genetics, Molecular Biology and Epidemiology. According to data from OpenAlex, Albert H. Kim has authored 152 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Genetics, 43 papers in Molecular Biology and 30 papers in Epidemiology. Recurrent topics in Albert H. Kim's work include Glioma Diagnosis and Treatment (65 papers), Meningioma and schwannoma management (28 papers) and Brain Metastases and Treatment (20 papers). Albert H. Kim is often cited by papers focused on Glioma Diagnosis and Treatment (65 papers), Meningioma and schwannoma management (28 papers) and Brain Metastases and Treatment (20 papers). Albert H. Kim collaborates with scholars based in United States, France and Canada. Albert H. Kim's co-authors include Moses V. Chao, Eric C. Leuthardt, Gus Khursigara, Xuan Sun, Thomas Franke, Azad Bonni, Gavin P. Dunn, Michael R. Chicoine, Jiayi Huang and Hiroko Yano and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Albert H. Kim

147 papers receiving 6.3k citations

Hit Papers

Akt Phosphorylates and Negatively Regulates Apoptosis Sig... 2001 2026 2009 2017 2001 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Albert H. Kim United States 44 2.6k 1.5k 1.0k 876 825 152 6.3k
Gordon Li United States 33 1.9k 0.7× 1.7k 1.1× 686 0.7× 721 0.8× 890 1.1× 147 6.6k
Mitsutoshi Nakada Japan 47 3.6k 1.4× 1.7k 1.1× 749 0.7× 698 0.8× 921 1.1× 324 7.8k
Myriam Bernaudin France 40 2.4k 0.9× 1.0k 0.7× 655 0.7× 862 1.0× 574 0.7× 118 6.8k
Ulrich Bogdahn Germany 46 2.3k 0.9× 1.5k 1.0× 886 0.9× 1.4k 1.6× 762 0.9× 163 7.8k
Roberto Pallini Italy 43 3.2k 1.3× 1.9k 1.2× 652 0.7× 970 1.1× 757 0.9× 237 7.3k
Liangfu Zhou China 43 2.0k 0.8× 1.7k 1.1× 1.2k 1.2× 423 0.5× 974 1.2× 233 6.8k
Sieger Leenstra Netherlands 37 1.9k 0.7× 1.9k 1.2× 653 0.7× 565 0.6× 649 0.8× 112 5.1k
Yoichi Nakazato Japan 42 2.4k 0.9× 2.1k 1.4× 676 0.7× 995 1.1× 991 1.2× 258 6.8k
Hugo H. Marti Germany 52 4.1k 1.6× 942 0.6× 969 1.0× 874 1.0× 689 0.8× 95 9.8k
Orin Bloch United States 38 1.2k 0.5× 1.5k 1.0× 999 1.0× 439 0.5× 1.1k 1.3× 120 5.0k

Countries citing papers authored by Albert H. Kim

Since Specialization
Citations

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

Fields of papers citing papers by Albert H. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Albert H. Kim

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

All Works

20 of 20 papers shown
1.
Huang, Yitong, Tatiana Simon, Omar H. Butt, et al.. (2025). Circadian variation in MGMT promoter methylation and expression predicts sensitivity to temozolomide in glioblastoma. Journal of Neuro-Oncology. 176(1). 36–36.
2.
Kim, Albert H., et al.. (2024). Ubiquitin: Not just a one‐way ticket to the proteasome, but a therapeutic dial to fine‐tune the molecular landscape of disease. Clinical and Translational Medicine. 14(7). e1769–e1769. 3 indexed citations
3.
Chiang, Veronica, Analiz Rodriguez, Sujit S. Prabhu, et al.. (2024). Laser interstitial thermal therapy for new and recurrent meningioma: a prospective and retrospective case series. Journal of neurosurgery. 141(3). 642–652. 5 indexed citations
4.
Luo, Jingqin, Robyn S. Klein, Albert H. Kim, et al.. (2024). Multimodal neuro-nanotechnology: Challenging the existing paradigm in glioblastoma therapy. Proceedings of the National Academy of Sciences. 121(8). e2306973121–e2306973121. 12 indexed citations
5.
Jang, H. Josh, Nakul M. Shah, Yonghao Liang, et al.. (2024). Epigenetic therapy potentiates transposable element transcription to create tumor-enriched antigens in glioblastoma cells. Nature Genetics. 56(9). 1903–1913. 19 indexed citations
6.
Huang, Jiayi, Jian Campian, T.A. DeWees, et al.. (2024). A Phase 1/2 Study of Disulfiram and Copper With Concurrent Radiation Therapy and Temozolomide for Patients With Newly Diagnosed Glioblastoma. International Journal of Radiation Oncology*Biology*Physics. 120(3). 738–749. 11 indexed citations
7.
Barrett, Thomas F., Bhuvic Patel, Saad M. Khan, et al.. (2024). Single-cell multi-omic analysis of the vestibular schwannoma ecosystem uncovers a nerve injury-like state. Nature Communications. 15(1). 478–478. 25 indexed citations
8.
Patel, Bhuvic, Kaleigh F. Roberts, Ajay Chatrath, et al.. (2024). Multiomic and clinical analysis of multiply recurrent meningiomas reveals risk factors, underlying biology, and insights into evolution. Science Advances. 10(43). eadn4419–eadn4419. 1 indexed citations
9.
Luckett, Patrick H., Bidhan Lamichhane, Donna Dierker, et al.. (2023). Predicting survival in glioblastoma with multimodal neuroimaging and machine learning. Journal of Neuro-Oncology. 164(2). 309–320. 21 indexed citations
10.
Sun, Rui, Rowland H. Han, Saad M. Khan, et al.. (2023). TREM2 inhibition triggers antitumor cell activity of myeloid cells in glioblastoma. Science Advances. 9(19). eade3559–eade3559. 62 indexed citations
11.
Ghosh, Subhajit, Tanner M. Johanns, Milan G. Chheda, et al.. (2023). A pilot phase Ib study to evaluate tadalafil to overcome immunosuppression during chemoradiotherapy for IDH-wild-type glioblastoma. Neuro-Oncology Advances. 5(1). vdad088–vdad088. 5 indexed citations
12.
Kim, Albert H., et al.. (2021). Epigenetic regulation in Huntington's disease. Neurochemistry International. 148. 105074–105074. 18 indexed citations
13.
Ye, Zezhong, Richard L. Price, Qingsong Yang, et al.. (2020). Diffusion Histology Imaging Combining Diffusion Basis Spectrum Imaging (DBSI) and Machine Learning Improves Detection and Classification of Glioblastoma Pathology. Clinical Cancer Research. 26(20). 5388–5399. 22 indexed citations
14.
Yang, Wei, Nicole M. Warrington, Sara Taylor, et al.. (2019). Sex differences in GBM revealed by analysis of patient imaging, transcriptome, and survival data. Science Translational Medicine. 11(473). 214 indexed citations
15.
Huang, Jiayi, Jian Campian, Amit D. Gujar, et al.. (2018). Final results of a phase I dose-escalation, dose-expansion study of adding disulfiram with or without copper to adjuvant temozolomide for newly diagnosed glioblastoma. Journal of Neuro-Oncology. 138(1). 105–111. 45 indexed citations
16.
Lin, Alexander J., Caressa Hui, Sonika Dahiya, et al.. (2018). Radiologic Response and Disease Control of Recurrent Intracranial Meningiomas Treated With Reirradiation. International Journal of Radiation Oncology*Biology*Physics. 102(1). 194–203. 14 indexed citations
17.
Kamath, Ashwin A., Carl D. Hacker, Matthew D. Smyth, et al.. (2017). MRI-Guided Interstitial Laser Ablation for Intracranial Lesions: A Large Single-Institution Experience of 133 Cases. Stereotactic and Functional Neurosurgery. 95(6). 417–428. 54 indexed citations
18.
Speirs, Christina K., Joseph R. Simpson, Clifford G. Robinson, et al.. (2015). Impact of 1p/19q Codeletion and Histology on Outcomes of Anaplastic Gliomas Treated With Radiation Therapy and Temozolomide. International Journal of Radiation Oncology*Biology*Physics. 91(2). 268–276. 24 indexed citations
19.
Huang, Jiayi, T.A. DeWees, Shahed N. Badiyan, et al.. (2015). Clinical and Dosimetric Predictors of Acute Severe Lymphopenia During Radiation Therapy and Concurrent Temozolomide for High-Grade Glioma. International Journal of Radiation Oncology*Biology*Physics. 92(5). 1000–1007. 82 indexed citations
20.
Badiyan, Shahed N., Stephanie Markovina, Joseph R. Simpson, et al.. (2014). Radiation Therapy Dose Escalation for Glioblastoma Multiforme in the Era of Temozolomide. International Journal of Radiation Oncology*Biology*Physics. 90(4). 877–885. 47 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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