In Hwa Um

1.3k total citations · 1 hit paper
28 papers, 868 citations indexed

About

In Hwa Um is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, In Hwa Um has authored 28 papers receiving a total of 868 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 9 papers in Oncology and 8 papers in Cancer Research. Recurrent topics in In Hwa Um's work include Cancer Genomics and Diagnostics (6 papers), AI in cancer detection (4 papers) and Renal cell carcinoma treatment (3 papers). In Hwa Um is often cited by papers focused on Cancer Genomics and Diagnostics (6 papers), AI in cancer detection (4 papers) and Renal cell carcinoma treatment (3 papers). In Hwa Um collaborates with scholars based in United Kingdom, United States and France. In Hwa Um's co-authors include David J. Harrison, Simon P. Langdon, V. Anne Smith, Antonis Koussounadis, Dana Faratian, Peter Mullen, Charlene Kay, Anatoly Sorokin, Alexey Goltsov and Stuart Moodie and has published in prestigious journals such as PLoS ONE, Cancer Research and Scientific Reports.

In The Last Decade

In Hwa Um

26 papers receiving 859 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Relationship between differentially expressed mRNA and mRNA-protein correlations in a xenograft model system

2015 455 citations Antonis Koussounadis, Simon P. Langdon et al. Scientific Reports profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
In Hwa Um United Kingdom	10	494	172	125	76	74	28	868
Galia Maik-Rachline Israel	15	620 1.3×	163 0.9×	100 0.8×	56 0.7×	80 1.1×	24	925
Edita Aksamitiene United States	13	788 1.6×	213 1.2×	127 1.0×	60 0.8×	88 1.2×	36	1.2k
Catherine Le Jossic-Corcos France	20	690 1.4×	192 1.1×	185 1.5×	89 1.2×	63 0.9×	40	1.1k
Ezequiel Lacunza Argentina	20	656 1.3×	177 1.0×	278 2.2×	88 1.2×	121 1.6×	64	1.0k
Jianshi Yu United States	20	668 1.4×	172 1.0×	150 1.2×	86 1.1×	176 2.4×	47	1.1k
Maike Ahrens Germany	19	531 1.1×	115 0.7×	105 0.8×	72 0.9×	56 0.8×	31	908
S. Stephen Yi United States	18	814 1.6×	125 0.7×	170 1.4×	61 0.8×	94 1.3×	52	1.2k
Dorian Willhite United States	7	455 0.9×	101 0.6×	122 1.0×	80 1.1×	92 1.2×	8	786
Christian Rohlff United States	16	599 1.2×	256 1.5×	96 0.8×	52 0.7×	82 1.1×	31	903
Helena L. Borges Brazil	20	771 1.6×	333 1.9×	176 1.4×	70 0.9×	109 1.5×	40	1.2k

Countries citing papers authored by In Hwa Um

Since Specialization

Citations

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

Fields of papers citing papers by In Hwa Um

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by In Hwa Um. 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 In Hwa Um. The network helps show where In Hwa Um may publish in the future.

Co-authorship network of co-authors of In Hwa Um

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

All Works

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20 of 20 papers shown

Abdullah, Noor Hisham, et al.. (2025). Kidney tumoroid characterisation by spatial mass spectrometry with same-section multiplex immunofluorescence uncovers tumour microenvironment lipid signatures associated with aggressive tumour phenotypes. PubMed. 3(1). 43–43.

Um, In Hwa, et al.. (2025). SurGen: 1020 H&E-stained whole-slide images with survival and genetic markers. GigaScience. 14. 2 indexed citations

Um, In Hwa, et al.. (2024). Defining the mode of action of cisplatin combined with NUC-1031, a phosphoramidate modification of gemcitabine. Translational Oncology. 50. 102114–102114. 1 indexed citations

Um, In Hwa, et al.. (2024). DESI-MSI-guided exploration of metabolic-phenotypic relationships reveals a correlation between PI 38:3 and proliferating cells in clear cell renal cell carcinoma via single-section co-registration of multimodal imaging. Analytical and Bioanalytical Chemistry. 416(18). 4015–4028. 7 indexed citations

Um, In Hwa, et al.. (2024). Kisspeptin is elevated in the brain after intracerebral haemorrhagic stroke. Scientific Reports. 14(1). 32046–32046. 2 indexed citations

Wölflein, Georg, In Hwa Um, David J. Harrison, & Ognjen Arandjelović. (2023). Whole-Slide Images and Patches of Clear Cell Renal Cell Carcinoma Tissue Sections Counterstained with Hoechst 33342, CD3, and CD8 Using Multiple Immunofluorescence. Data. 8(2). 40–40. 1 indexed citations

Arandjelović, Ognjen, et al.. (2023). MultiPathGAN: Structure Preserving Stain Normalization using Unsupervised Multi-domain Adversarial Network with Perception Loss. 1197–1204. 8 indexed citations

Blagden, Sarah P., Stefan N. Symeonides, In Hwa Um, et al.. (2023). Abstract C032: NUC-7738 in combination with pembrolizumab in patients with metastatic melanoma: Phase 2 results from the NuTide:701 study. Molecular Cancer Therapeutics. 22(12_Supplement). C032–C032.

Wölflein, Georg, In Hwa Um, Peter D. Caie, et al.. (2022). Use of High-Plex Data Reveals Novel Insights into the Tumour Microenvironment of Clear Cell Renal Cell Carcinoma. Cancers. 14(21). 5387–5387. 7 indexed citations

10.

Cooper, Jessica, In Hwa Um, Ognjen Arandjelović, & David J. Harrison. (2022). Lymphocyte Classification from Hoechst Stained Slides with Deep Learning. Cancers. 14(23). 5957–5957. 3 indexed citations

11.

Um, In Hwa, et al.. (2022). Spatial Analysis of NQO1 in Non-Small Cell Lung Cancer Shows Its Expression Is Independent of NRF1 and NRF2 in the Tumor Microenvironment. Biomolecules. 12(11). 1652–1652. 10 indexed citations

12.

Um, In Hwa, et al.. (2022). NUC-7738 regulates β-catenin signalling resulting in reduced proliferation and self-renewal of AML cells. PLoS ONE. 17(12). e0278209–e0278209. 2 indexed citations

13.

Um, In Hwa, et al.. (2021). YAP Translocation Precedes Cytoskeletal Rearrangement in Podocyte Stress Response: A Podometric Investigation of Diabetic Nephropathy. Frontiers in Physiology. 12. 625762–625762. 10 indexed citations

14.

Um, In Hwa, L.A.S. Scott-Hayward, Monique MacKenzie, et al.. (2020). Computerized Image Analysis of Tumor Cell Nuclear Morphology Can Improve Patient Selection for Clinical Trials in Localized Clear Cell Renal Cell Carcinoma. Journal of Pathology Informatics. 11(1). 35–35. 2 indexed citations

15.

Um, In Hwa, et al.. (2019). Genome-scale CRISPR/Cas9 screen determines factors modulating sensitivity to ProTide NUC-1031. Scientific Reports. 9(1). 7643–7643. 14 indexed citations

16.

Koussounadis, Antonis, Simon P. Langdon, In Hwa Um, et al.. (2016). Dynamic modulation of phosphoprotein expression in ovarian cancer xenograft models. BMC Cancer. 16(1). 205–205. 4 indexed citations

17.

Um, In Hwa, Dana Faratian, Ying Zhou, et al.. (2015). Multi-Scale Genomic, Transcriptomic and Proteomic Analysis of Colorectal Cancer Cell Lines to Identify Novel Biomarkers. PLoS ONE. 10(12). e0144708–e0144708. 41 indexed citations

18.

Koussounadis, Antonis, Simon P. Langdon, In Hwa Um, David J. Harrison, & V. Anne Smith. (2015). Relationship between differentially expressed mRNA and mRNA-protein correlations in a xenograft model system. Scientific Reports. 5(1). 10775–10775. 455 indexed citations breakdown →

19.

Sims, Andrew H., Annelien J.M. Zweemer, Yoko Nagumo, et al.. (2012). Defining the molecular response to trastuzumab, pertuzumab and combination therapy in ovarian cancer. British Journal of Cancer. 106(11). 1779–1789. 38 indexed citations

20.

Faratian, Dana, Alexey Goltsov, Anatoly Sorokin, et al.. (2009). Systems Biology Reveals New Strategies for Personalizing Cancer Medicine and Confirms the Role of PTEN in Resistance to Trastuzumab. Cancer Research. 69(16). 6713–6720. 126 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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