Teguh Aryandono

1.6k total citations
102 papers, 1.1k citations indexed

About

Teguh Aryandono is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Teguh Aryandono has authored 102 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Oncology, 43 papers in Cancer Research and 32 papers in Molecular Biology. Recurrent topics in Teguh Aryandono's work include Breast Cancer Treatment Studies (17 papers), Cancer Risks and Factors (13 papers) and MicroRNA in disease regulation (13 papers). Teguh Aryandono is often cited by papers focused on Breast Cancer Treatment Studies (17 papers), Cancer Risks and Factors (13 papers) and MicroRNA in disease regulation (13 papers). Teguh Aryandono collaborates with scholars based in Indonesia, Netherlands and Taiwan. Teguh Aryandono's co-authors include Lutfan Lazuardi, Ricvan Dana Nindrea, Iwan Dwiprahasto, Sumadi Lukman Anwar, Samuel J Haryono, Sofia Mubarika Haryana, Wirsma Arif Harahap, Gerard Pals, Dewajani Purnomosari and P. J. van Diest and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of Oncology and Journal of Clinical Pathology.

In The Last Decade

Teguh Aryandono

96 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Teguh Aryandono Indonesia 19 445 355 342 216 106 102 1.1k
Debora Macis Italy 16 323 0.7× 280 0.8× 223 0.7× 226 1.0× 145 1.4× 49 876
Ramona Dumitrescu Romania 18 326 0.7× 543 1.5× 256 0.7× 247 1.1× 136 1.3× 49 1.2k
Zahra Pournamdar Iran 8 375 0.8× 251 0.7× 221 0.6× 84 0.4× 59 0.6× 12 956
Yun‐Ling Zheng United States 22 403 0.9× 672 1.9× 274 0.8× 158 0.7× 64 0.6× 61 1.7k
Louis WC Chow China 27 791 1.8× 538 1.5× 339 1.0× 213 1.0× 158 1.5× 78 1.8k
Urmila Chandran United States 17 425 1.0× 181 0.5× 150 0.4× 125 0.6× 222 2.1× 27 854
Gary Zirpoli United States 24 785 1.8× 562 1.6× 355 1.0× 329 1.5× 223 2.1× 74 1.8k
Dominique Scherer Germany 19 463 1.0× 457 1.3× 270 0.8× 56 0.3× 58 0.5× 39 1.1k
Ya‐Fang Huang Taiwan 20 307 0.7× 532 1.5× 187 0.5× 88 0.4× 44 0.4× 31 1.2k
Emmanuel N. Kontomanolis Greece 19 257 0.6× 574 1.6× 347 1.0× 55 0.3× 64 0.6× 80 1.2k

Countries citing papers authored by Teguh Aryandono

Since Specialization
Citations

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

Fields of papers citing papers by Teguh Aryandono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Teguh Aryandono

This figure shows the co-authorship network connecting the top 25 collaborators of Teguh Aryandono. A scholar is included among the top collaborators of Teguh Aryandono 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 Teguh Aryandono. Teguh Aryandono 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.
Aryandono, Teguh, et al.. (2025). Shorter telomere length as a prognostic marker for survival and recurrence in breast cancer: a systematic review and meta-analysis. Exploration of Targeted Anti-tumor Therapy. 6. 1002289–1002289.
2.
Anwar, Sumadi Lukman, et al.. (2024). The Effication of Low-Level Laser Therapy, Kinesio Taping, and Endermology on Post-Mastectomy Lymphedema: A Systematic Review and Meta-Analysis. Asian Pacific Journal of Cancer Prevention. 25(11). 3771–3779. 1 indexed citations
3.
Aryandono, Teguh, et al.. (2022). Arrowroot (Maranta arundinacea L.) as a new potential functional food: A scoping review. International Food Research Journal. 29(6). 1240–1255. 1 indexed citations
4.
Aryandono, Teguh, et al.. (2022). The effect of NPWT in wound healing and bacterial count on deep dermal burn injury model: An experimental study. Annals of Medicine and Surgery. 75. 103367–103367. 5 indexed citations
5.
Anwar, Sumadi Lukman, et al.. (2021). Potential prognostic value of PD-L1 and NKG2A expression in Indonesian patients with skin nodular melanoma. BMC Research Notes. 14(1). 206–206. 1 indexed citations
6.
Aryandono, Teguh, et al.. (2020). A systematic review of the keystone design perforator island flap in the reconstruction of trunk defects. Archives of Plastic Surgery. 47(6). 535–541. 12 indexed citations
7.
Aryandono, Teguh, et al.. (2020). Kadar mRNA Hypoxia Inducible Factor Alpha Plasma Darah Pasien Kanker Ovarium Tipe Mucinous Dan Serous. 1(2). 111–116. 1 indexed citations
8.
Aryandono, Teguh, et al.. (2020). Expression of Circulating MicroRNA-141 in Epithelial Ovarian Cancer. Malaysian Journal of Medical Sciences. 27(6). 27–38. 10 indexed citations
9.
Chao, Tsu‐Yi, et al.. (2020). Dual therapeutic strategy targeting tumor cells and tumor microenvironment in triple-negative breast cancer. Journal of Cancer Research and Practice. 7(4). 139–139. 2 indexed citations
10.
Aryandono, Teguh, et al.. (2019). The effect of 5α-oleandrin on keloid fibroblast activities. BMC Proceedings. 13(S11). 14–14. 3 indexed citations
11.
12.
Setiawan, Didik, et al.. (2018). The Development of Quality of Life Questionnaire for Indonesian Breast Cancer Patients: INA-BCHRQoL. PubMed. 19(5). 1269–1275. 4 indexed citations
13.
Nindrea, Ricvan Dana, Teguh Aryandono, & Lutfan Lazuardi. (2017). Breast Cancer Risk From Modifiable and Non-Modifiable Risk Factors among Women in Southeast Asia: A Meta-Analysis. PubMed. 18(12). 3201–3206. 78 indexed citations
14.
Kurnianda, Johan, et al.. (2011). Concentration of serum HER-2/neu as a prognostic factor in locally advanced breast cancer (LABC) and metastatic breast cancer (MBC).. PubMed. 43(1). 23–8. 2 indexed citations
15.
Aryandono, Teguh, et al.. (2010). Prognostic factors of locally advanced breast cancer patients receiving neoadjuvant and adjuvant chemotherapy.. PubMed. 11(3). 759–61. 12 indexed citations
16.
Choridah, Lina, et al.. (2008). Validity of BI-RADS System Mammography to detect breast cancer at Dr Sardjito Hospital Yogyakarta. 40(2008).
17.
Aryandono, Teguh, et al.. (2007). Breast cancer in young women: prognostic factors and clinicopathological features.. PubMed. 7(3). 451–4. 20 indexed citations
18.
Purnomosari, Dewajani, et al.. (2006). Comparison of multiplex ligation dependent probe amplification to immunohistochemistry for assessing HER-2/neuamplification in invasive breast cancer. Biotechnic & Histochemistry. 81(2-3). 79–85. 18 indexed citations
19.
Aryandono, Teguh, et al.. (2006). Hormone receptor status of operable breast cancers in Indonesia: correlation with other prognostic factors and survival.. PubMed. 7(2). 321–4. 12 indexed citations
20.
Aryandono, Teguh, et al.. (2000). Correlation of clinical, pathological status, hormone receptor and C-erbB-2 oncoprotein in breast cancer patients.. PubMed. 27 Suppl 2. 600–6. 11 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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