Samuel J Haryono

421 total citations
20 papers, 267 citations indexed

About

Samuel J Haryono is a scholar working on Oncology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Samuel J Haryono has authored 20 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 6 papers in Cancer Research and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Samuel J Haryono's work include Breast Cancer Treatment Studies (6 papers), BRCA gene mutations in cancer (4 papers) and Breast Lesions and Carcinomas (3 papers). Samuel J Haryono is often cited by papers focused on Breast Cancer Treatment Studies (6 papers), BRCA gene mutations in cancer (4 papers) and Breast Lesions and Carcinomas (3 papers). Samuel J Haryono collaborates with scholars based in Indonesia, Netherlands and South Korea. Samuel J Haryono's co-authors include Teguh Aryandono, Dewajani Purnomosari, P. J. van Diest, Gerard Pals, Tjakra Wibawa Manuaba, Sumadi Lukman Anwar, Wirsma Arif Harahap, Ricvan Dana Nindrea, Harald J. Hoekstra and Theo Wobbes and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of Surgical Oncology and Breast Cancer Research and Treatment.

In The Last Decade

Samuel J Haryono

17 papers receiving 262 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samuel J Haryono Indonesia 8 112 93 86 72 41 20 267
Sarah V. Colonna United States 12 81 0.7× 178 1.9× 79 0.9× 50 0.7× 24 0.6× 28 315
Rodrigo Augusto Depieri Michelli Brazil 10 107 1.0× 98 1.1× 84 1.0× 129 1.8× 49 1.2× 12 247
Elke M. van Veen United Kingdom 11 272 2.4× 167 1.8× 112 1.3× 99 1.4× 51 1.2× 24 440
Elizabeth Schackmann United States 7 107 1.0× 101 1.1× 77 0.9× 104 1.4× 16 0.4× 10 231
Solomon Quayson Ghana 8 82 0.7× 206 2.2× 69 0.8× 162 2.3× 34 0.8× 18 347
Judith Balmaña Gelpí Spain 4 150 1.3× 126 1.4× 94 1.1× 98 1.4× 36 0.9× 9 256
Lara Petelin Australia 8 113 1.0× 47 0.5× 101 1.2× 92 1.3× 21 0.5× 14 252
Sudeshna Chatterjee‐Paer United States 6 77 0.7× 124 1.3× 45 0.5× 44 0.6× 21 0.5× 8 271
Carolina Simões Portugal 5 81 0.7× 96 1.0× 85 1.0× 71 1.0× 19 0.5× 18 256
Yelena Kemel United States 11 136 1.2× 87 0.9× 213 2.5× 111 1.5× 71 1.7× 44 427

Countries citing papers authored by Samuel J Haryono

Since Specialization
Citations

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

Fields of papers citing papers by Samuel J Haryono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel J Haryono

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel J Haryono. A scholar is included among the top collaborators of Samuel J Haryono 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 Samuel J Haryono. Samuel J Haryono 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.
Yamamoto, Takumi, Sonar Soni Panigoro, Samuel J Haryono, et al.. (2025). The pattern of arm lymphatic drainage and subclinical lymphedema progression after axillary lymph node dissection: a prospective cohort study. International Journal of Surgery. 111(12). 9353–9362.
2.
Haryono, Samuel J, et al.. (2024). Prognostic Values of CD8+, PARP, and EGFR on Overall Survival in Patients with Triple-Negative Breast Cancer. Asian Pacific Journal of Cancer Prevention. 25(3). 1025–1034.
3.
Yamamoto, Takumi, Sonar Soni Panigoro, Samuel J Haryono, et al.. (2024). Supermicrosurgery lymphaticovenous and lymphaticolymphatic anastomosis: Technical detail and short-term follow-up for immediate lymphatic reconstruction in breast cancer treatment-related lymphedema prevention. Journal of Vascular Surgery Venous and Lymphatic Disorders. 12(4). 101863–101863. 4 indexed citations
4.
5.
Panigoro, Sonar Soni, et al.. (2020). ALDH1 Cancer Stem Cell Marker as a Prognostic Factor in Triple-Negative Breast Cancer. International Journal of Surgical Oncology. 2020. 1–7. 19 indexed citations
6.
Nindrea, Ricvan Dana, Wirsma Arif Harahap, Samuel J Haryono, et al.. (2020). Survey data of COVID-19 awareness, knowledge, preparedness and related behaviors among breast cancer patients in Indonesia. SHILAP Revista de lepidopterología. 32. 106145–106145. 11 indexed citations
7.
Nindrea, Ricvan Dana, Wirsma Arif Harahap, Samuel J Haryono, et al.. (2020). Survey data of multidrug-resistant tuberculosis, Tuberculosis patients characteristics and stress resilience during COVID-19 pandemic in West Sumatera Province, Indonesia. SHILAP Revista de lepidopterología. 32. 106293–106293. 7 indexed citations
8.
Prihartono, Joedo, et al.. (2020). The Role of Curcumin on Apoptosis through The RASSF1A and Bax Pathways in Breast Cancer. SHILAP Revista de lepidopterología. 11(2). 67–67. 1 indexed citations
9.
Haryono, Samuel J, et al.. (2019). The Application of 1% Methylene Blue Dye As a Single Technique in Breast Cancer Sentinel Node Biopsy. Journal of Visualized Experiments.
10.
11.
Adisasmita, Asri C., et al.. (2018). Neck Dissection in Patients with Oral Squamous Cell Carcinoma in Dharmais Hospital, Jakarta. KnE Life Sciences. 4(4). 144–144. 2 indexed citations
12.
Haryono, Samuel J, et al.. (2017). The predictive value of methylene blue dye as a single technique in breast cancer sentinel node biopsy: a study from Dharmais Cancer Hospital. World Journal of Surgical Oncology. 15(1). 41–41. 17 indexed citations
13.
14.
Harahap, Wirsma Arif, et al.. (2016). Pentingnya Pemeriksaan Androgen Reseptor (AR) Terhadap Penderita Karsinoma Payudara di Sumatera Barat. 6(2). 39–45. 1 indexed citations
15.
Anwar, Sumadi Lukman, et al.. (2016). Screening of BRCA1/2 Mutations Using Direct Sequencing in Indonesian Familial Breast Cancer Cases. Asian Pacific Journal of Cancer Prevention. 17(4). 1987–1991. 4 indexed citations
16.
Hoekstra, Harald J., Theo Wobbes, Erik Heineman, et al.. (2016). Fighting Global Disparities in Cancer Care: A Surgical Oncology View. Annals of Surgical Oncology. 23(7). 2131–2136. 23 indexed citations
17.
Haryono, Samuel J, et al.. (2015). A Pilot Genome-wide Association Study of Breast Cancer Susceptibility Loci in Indonesia. Asian Pacific Journal of Cancer Prevention. 16(6). 2231–2235. 9 indexed citations
18.
Anwar, Sumadi Lukman, et al.. (2015). Caveolin-1 in Breast Cancer: Single Molecule Regulation of Multiple Key Signaling Pathways. Asian Pacific Journal of Cancer Prevention. 16(16). 6803–6812. 23 indexed citations
19.
Purnomosari, Dewajani, Gerard Pals, Teguh Aryandono, et al.. (2007). BRCA1 and BRCA2 germline mutation analysis in the Indonesian population. Breast Cancer Research and Treatment. 106(2). 297–304. 126 indexed citations
20.
Haryono, Samuel J, Pieter J. Tanis, Omgo E. Nieweg, et al.. (2002). Isolated internal mammary sentinel lymph node metastasis in two breast cancer patients. International Journal of Clinical Oncology. 7(6). 368–371. 2 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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