Michael Grunkin

827 total citations
10 papers, 613 citations indexed

About

Michael Grunkin is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Ophthalmology. According to data from OpenAlex, Michael Grunkin has authored 10 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Artificial Intelligence and 3 papers in Ophthalmology. Recurrent topics in Michael Grunkin's work include AI in cancer detection (4 papers), Retinal Imaging and Analysis (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Michael Grunkin is often cited by papers focused on AI in cancer detection (4 papers), Retinal Imaging and Analysis (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Michael Grunkin collaborates with scholars based in Denmark, Sweden and Germany. Michael Grunkin's co-authors include Michael Larsen, Lars Hyldstrup, Anders Rosholm, Lene Bæksgaard, Henrik Lund‐Andersen, Nicolai Balle Larsen, Niels T. Foged, Elisabet Agardh, Anne Katrin Sjølie and David R. Owens and has published in prestigious journals such as Cancer Research, Investigative Ophthalmology & Visual Science and Osteoporosis International.

In The Last Decade

Michael Grunkin

10 papers receiving 582 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Grunkin Denmark	7	335	206	131	109	91	10	613
Xiaokai Mo China	17	1.2k 3.7×	65 0.3×	243 1.9×	254 2.3×	18 0.2×	37	1.6k
Emine Şebnem Durmaz Türkiye	15	672 2.0×	31 0.2×	114 0.9×	94 0.9×	11 0.1×	26	915
J. Andersen Denmark	16	161 0.5×	80 0.4×	35 0.3×	293 2.7×	18 0.2×	44	872
Birgitte Nielsen Norway	12	108 0.3×	48 0.2×	82 0.6×	39 0.4×	58 0.6×	22	346
Arjun B. Sood United States	10	193 0.6×	173 0.8×	81 0.6×	95 0.9×	37 0.4×	15	464
Peter Dankerl Germany	10	146 0.4×	12 0.1×	42 0.3×	70 0.6×	31 0.3×	32	349
Caroline Malhaire France	14	289 0.9×	35 0.2×	97 0.7×	106 1.0×	8 0.1×	45	607
Hongtao Zhang China	12	207 0.6×	84 0.4×	20 0.2×	20 0.2×	16 0.2×	54	517
Bartłomiej Grala Poland	13	80 0.2×	26 0.1×	77 0.6×	145 1.3×	35 0.4×	31	527
Sandra Canale France	13	297 0.9×	4 0.0×	124 0.9×	65 0.6×	24 0.3×	36	712

Countries citing papers authored by Michael Grunkin

Since Specialization

Citations

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

Fields of papers citing papers by Michael Grunkin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Grunkin

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

All Works

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10 of 10 papers shown

Huss, Ralf & Michael Grunkin. (2021). Artificial Intelligence Applications in Human Pathology. WORLD SCIENTIFIC (EUROPE) eBooks. 2 indexed citations

Stålhammar, Gustav, Michael Lippert, Nicholas P. Tobin, et al.. (2016). Digital image analysis outperforms manual biomarker assessment in breast cancer. Modern Pathology. 29(4). 318–329. 130 indexed citations

Stålhammar, Gustav, Gustaf Rosin, Lóránd Kis, et al.. (2016). Abstract P1-01-06: Digital image analysis outperforms manual scoring for breast cancer subclassification and prognostication. Cancer Research. 76(4_Supplement). P1–1. 1 indexed citations

Grunkin, Michael, et al.. (2014). Image analysis of breast cancer HER2 protein expression used in assessment of staining quality. VBN Forskningsportal (Aalborg Universitet). 465. 1 indexed citations

Grunkin, Michael, et al.. (2011). Practical Considerations of Image Analysis and Quantification of Signal Transduction IHC Staining. Methods in molecular biology. 717. 143–154. 23 indexed citations

Lelkaitis, Giedrius, et al.. (2011). Digital image analysis of membrane connectivity is a robust measure of HER2 immunostains. Breast Cancer Research and Treatment. 132(1). 41–49. 75 indexed citations

Larsen, Michael, Nicolai Balle Larsen, Henrik Lund‐Andersen, et al.. (2003). Automated Detection of Fundus Photographic Red Lesions in Diabetic Retinopathy. Investigative Ophthalmology & Visual Science. 44(2). 761–761. 109 indexed citations

Larsen, Nicolai Balle, et al.. (2003). Automated Detection of Diabetic Retinopathy in a Fundus Photographic Screening Population. Investigative Ophthalmology & Visual Science. 44(2). 767–767. 77 indexed citations

Rosholm, Anders, et al.. (2001). Estimation of Bone Mineral Density by Digital X-ray Radiogrammetry: Theoretical Background and Clinical Testing. Osteoporosis International. 12(11). 961–969. 147 indexed citations

10.

Grunkin, Michael, et al.. (2000). Quantitative measurement of changes in retinal vessel diameter in ocular fundus images. Pattern Recognition Letters. 21(13-14). 1215–1223. 48 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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