Miki N. Hew

408 total citations
11 papers, 285 citations indexed

About

Miki N. Hew is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Oncology. According to data from OpenAlex, Miki N. Hew has authored 11 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pulmonary and Respiratory Medicine, 7 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Miki N. Hew's work include Renal cell carcinoma treatment (7 papers), Renal and related cancers (7 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Miki N. Hew is often cited by papers focused on Renal cell carcinoma treatment (7 papers), Renal and related cancers (7 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Miki N. Hew collaborates with scholars based in Netherlands, Türkiye and Spain. Miki N. Hew's co-authors include Jean de la Rosette, Simon Horenblas, M. Pilar Laguna Pes, Kurdo Barwari, Barbaros Başeskioğlu, Axel Bex, Cavit Can, M. Pilar Laguna, Dedan Opondo and Karijn P.M. Suijkerbuijk and has published in prestigious journals such as Journal of Clinical Oncology, CHEST Journal and The Journal of Urology.

In The Last Decade

Miki N. Hew

10 papers receiving 283 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Miki N. Hew Netherlands 7 233 139 51 50 38 11 285
E. Bromwich United Kingdom 5 213 0.9× 125 0.9× 151 3.0× 66 1.3× 7 0.2× 7 330
Fucai Tang China 11 205 0.9× 169 1.2× 54 1.1× 52 1.0× 8 0.2× 40 367
Norio Meguro Japan 10 251 1.1× 172 1.2× 34 0.7× 117 2.3× 7 0.2× 41 358
Michael G Feely United States 8 173 0.7× 91 0.7× 26 0.5× 17 0.3× 34 0.9× 9 272
Nilgün Kurucu Türkiye 8 111 0.5× 36 0.3× 60 1.2× 59 1.2× 42 1.1× 34 251
Tomáš Ürge Czechia 9 234 1.0× 174 1.3× 21 0.4× 73 1.5× 5 0.1× 53 287
Noah A. Goldman United States 8 58 0.2× 78 0.6× 99 1.9× 123 2.5× 21 0.6× 18 493
Supparerk Disayabutr Thailand 5 303 1.3× 73 0.5× 31 0.6× 44 0.9× 5 0.1× 11 393
Özkan Alan Türkiye 8 98 0.4× 34 0.2× 111 2.2× 39 0.8× 10 0.3× 50 238
Sidney Kam‐Hung Yip Singapore 12 134 0.6× 145 1.0× 30 0.6× 155 3.1× 10 0.3× 29 397

Countries citing papers authored by Miki N. Hew

Since Specialization
Citations

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

Fields of papers citing papers by Miki N. Hew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Miki N. Hew. 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 Miki N. Hew. The network helps show where Miki N. Hew may publish in the future.

Co-authorship network of co-authors of Miki N. Hew

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

All Works

11 of 11 papers shown
1.
Verheijden, Rik J., et al.. (2024). Reply to: Peak Corticosteroid Dose for Immune-Related Adverse Events and Survival: Not the Whole Story. Journal of Clinical Oncology. 43(5). 616–619.
2.
Verheijden, Rik J., et al.. (2024). Corticosteroids for Immune-Related Adverse Events and Checkpoint Inhibitor Efficacy: Analysis of Six Clinical Trials. Journal of Clinical Oncology. 42(31). 3713–3724. 29 indexed citations
3.
4.
5.
Hew, Miki N., Patricia Zondervan, Selçuk Güven, Jean de la Rosette, & M. Pilar Laguna. (2013). Prognostic Models and Factors for Patients with Renal-Cell Carcinoma: A Survey on Their Use Among Urologists. Journal of Endourology. 27(6). 790–799. 3 indexed citations
6.
Hew, Miki N., Dedan Opondo, Fréderike J. Bemelman, et al.. (2013). The 1‐year decline in estimated glomerular filtration rate ( eGFR ) after radical nephrectomy in patients with renal masses and matched living kidney donors is the same. British Journal of Urology. 113(5b). E49–55. 11 indexed citations
7.
Hew, Miki N., Rens Zonneveld, Intan P.E.D. Kümmerlin, et al.. (2012). Age and Gender Related Differences in Renal Cell Carcinoma in a European Cohort. The Journal of Urology. 188(1). 33–38. 29 indexed citations
8.
Hew, Miki N., Barbaros Başeskioğlu, Kurdo Barwari, et al.. (2011). Critical Appraisal of the PADUA Classification and Assessment of the R.E.N.A.L. Nephrometry Score in Patients Undergoing Partial Nephrectomy. The Journal of Urology. 186(1). 42–46. 118 indexed citations
9.
Barwari, Kurdo, Patricia Beemster, Miki N. Hew, et al.. (2011). Are There Parameters that Predict a Nondiagnostic Biopsy Outcome Taken During Laparoscopic-Assisted Cryoablation of Small Renal Tumors?. Journal of Endourology. 25(9). 1463–1468. 6 indexed citations
10.
Hew, Miki N., Barbaros Başeskioğlu, Kurdo Barwari, et al.. (2011). 1524 CRITICAL APPRAISAL OF THE PADUA CLASSIFICATION AND ASSESSMENT OF THE R.E.N.A.L. NEPHROMETRY SCORE IN PATIENTS UNDERGOING PARTIAL NEPHRECTOMY. The Journal of Urology. 185(4S). 5 indexed citations
11.
Henkens, Ivo R., C. Tji Gan, S. A. van Wolferen, et al.. (2008). ECG Monitoring of Treatment Response in Pulmonary Arterial Hypertension Patients. CHEST Journal. 134(6). 1250–1257. 38 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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