Sumadi Lukman Anwar

1.5k total citations
77 papers, 1.0k citations indexed

About

Sumadi Lukman Anwar is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Sumadi Lukman Anwar has authored 77 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Oncology, 26 papers in Molecular Biology and 25 papers in Cancer Research. Recurrent topics in Sumadi Lukman Anwar's work include Cancer-related molecular mechanisms research (12 papers), MicroRNA in disease regulation (11 papers) and Epigenetics and DNA Methylation (8 papers). Sumadi Lukman Anwar is often cited by papers focused on Cancer-related molecular mechanisms research (12 papers), MicroRNA in disease regulation (11 papers) and Epigenetics and DNA Methylation (8 papers). Sumadi Lukman Anwar collaborates with scholars based in Indonesia, Germany and United Kingdom. Sumadi Lukman Anwar's co-authors include Ulrich Lehmann, Britta Hasemeier, Hans Kreipe, Teguh Aryandono, Elisa Schipper, Arndt Vogel, Till Krech, Nóra Schweitzer, Wahyu Wulaningsih and Ery Kus Dwianingsih and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Sumadi Lukman Anwar

62 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sumadi Lukman Anwar Indonesia 18 622 457 287 92 85 77 1.0k
Kah Hoong Chang Ireland 15 436 0.7× 398 0.9× 356 1.2× 77 0.8× 95 1.1× 27 1.0k
Manoj B. Mahimkar India 17 474 0.8× 226 0.5× 181 0.6× 50 0.5× 98 1.2× 37 834
Ramona Dumitrescu Romania 18 543 0.9× 256 0.6× 326 1.1× 94 1.0× 247 2.9× 49 1.2k
M. T. Landi United States 15 341 0.5× 260 0.6× 209 0.7× 52 0.6× 81 1.0× 21 816
Jianhui Zhang China 18 498 0.8× 366 0.8× 333 1.2× 65 0.7× 55 0.6× 83 1.1k
Ya-Min Cheng Taiwan 17 429 0.7× 263 0.6× 303 1.1× 296 3.2× 35 0.4× 36 920
Lie Cheng United States 18 1.1k 1.8× 462 1.0× 278 1.0× 42 0.5× 94 1.1× 27 1.4k
Zacharias Fasoulakis Greece 14 386 0.6× 202 0.4× 169 0.6× 84 0.9× 36 0.4× 73 824
Meiling Ji China 19 527 0.8× 351 0.8× 324 1.1× 43 0.5× 33 0.4× 50 1.1k
Jianbo Tian China 20 830 1.3× 454 1.0× 199 0.7× 168 1.8× 165 1.9× 72 1.4k

Countries citing papers authored by Sumadi Lukman Anwar

Since Specialization
Citations

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

Fields of papers citing papers by Sumadi Lukman Anwar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sumadi Lukman Anwar. 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 Sumadi Lukman Anwar. The network helps show where Sumadi Lukman Anwar may publish in the future.

Co-authorship network of co-authors of Sumadi Lukman Anwar

This figure shows the co-authorship network connecting the top 25 collaborators of Sumadi Lukman Anwar. A scholar is included among the top collaborators of Sumadi Lukman Anwar 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 Sumadi Lukman Anwar. Sumadi Lukman Anwar 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.
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Anwar, Sumadi Lukman, et al.. (2024). BRAF and NRAS Mutations and the Association with Prognosis of Acral Lentiginous and Nodular Melanomas in Indonesia. Asian Pacific Journal of Cancer Prevention. 25(10). 3525–3531.
5.
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
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Widodo, Irianiwati, et al.. (2022). Regulatory T Cells but Not Tumour-Infiltrating Lymphocytes Correlate with Tumour Invasion Depth in Basal Cell Carcinoma. Diagnostics. 12(12). 2987–2987. 4 indexed citations
8.
Anwar, Sumadi Lukman, et al.. (2022). Circulation microRNA expression profiles in patients with complete responses to chemoradiotherapy in nasopharyngeal carcinoma. Non-coding RNA Research. 7(4). 233–241. 4 indexed citations
9.
Anwar, Sumadi Lukman, et al.. (2022). Risk Factors, Patterns, and Distribution of Bone Metastases and Skeletal-Related Events in High-Risk Breast Cancer Patients. Asian Pacific Journal of Cancer Prevention. 23(12). 4109–4117. 6 indexed citations
10.
Heriyanto, Didik Setyo, et al.. (2022). High frequency of KRAS and EGFR mutation profiles in BRAF-negative thyroid carcinomas in Indonesia. BMC Research Notes. 15(1). 369–369. 3 indexed citations
11.
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
12.
Anwar, Sumadi Lukman, et al.. (2021). Vigilance to misleading information is required to avoid delayed diagnosis: Case series of acral melanomas. Annals of Medicine and Surgery. 65. 102270–102270.
13.
Anwar, Sumadi Lukman, et al.. (2020). BRAF V600 mutation profiling in primary skin nodular melanoma in Indonesia: an analysis using high resolution pyrosequencing. BMC Research Notes. 13(1). 164–164. 1 indexed citations
14.
Anwar, Sumadi Lukman, et al.. (2020). Concurrent Hip Pain and Skull Lump as the First Manifestations of a Silent Follicular Thyroid Carcinoma. SHILAP Revista de lepidopterología. 3(4). 27–27. 1 indexed citations
15.
Choridah, Lina, et al.. (2020). Advanced lesions of synchronous bilateral mammary Paget’s disease: a case report. Journal of Medical Case Reports. 14(1). 119–119. 8 indexed citations
16.
Widodo, Irianiwati, et al.. (2020). Down-regulation of RB1 and TP53 as potential predicting biomarkers for castration-resistant prostate cancer (CRPC): Indonesian retrospective cohort study. Annals of Medicine and Surgery. 60. 549–554. 5 indexed citations
17.
Anwar, Sumadi Lukman & Ulrich Lehmann. (2018). Detection of Aberrant DNA Methylation Patterns in the RB1 Gene. Methods in molecular biology. 1726. 35–47. 5 indexed citations
18.
Anwar, Sumadi Lukman, et al.. (2018). Rehabilitation for Cancer Survivors. American Journal of Physical Medicine & Rehabilitation. 97(10). 764–771. 32 indexed citations
19.
Anwar, Sumadi Lukman, Gindo Tampubolon, Mieke Van Hemelrijck, et al.. (2018). Determinants of cancer screening awareness and participation among Indonesian women. BMC Cancer. 18(1). 208–208. 69 indexed citations
20.
Anwar, Sumadi Lukman, Wahyu Wulaningsih, & Johnathan Watkins. (2017). Profile of the breast cancer susceptibility marker rs4245739 identifies a role for miRNAs. Cancer Biology and Medicine. 14(4). 387–387. 9 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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