David Manthey

932 total citations
11 papers, 153 citations indexed

About

David Manthey is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Biophysics. According to data from OpenAlex, David Manthey has authored 11 papers receiving a total of 153 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Biophysics. Recurrent topics in David Manthey's work include AI in cancer detection (7 papers), Cell Image Analysis Techniques (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). David Manthey is often cited by papers focused on AI in cancer detection (7 papers), Cell Image Analysis Techniques (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). David Manthey collaborates with scholars based in United States, Germany and Egypt. David Manthey's co-authors include David A. Gutman, Lee Cooper, Sanghoon Lee, Jonathan Beezley, Deepak R. Chittajallu, Mohammed Khalilia, Pinaki Sarder, Brendon Lutnick, Kuang‐Yu Jen and Jan U. Becker and has published in prestigious journals such as Bioinformatics, Nature Methods and Cancer Research.

In The Last Decade

David Manthey

10 papers receiving 150 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Manthey United States	6	86	44	41	39	21	11	153
David L. Hölscher Germany	6	51 0.6×	65 1.5×	36 0.9×	13 0.3×	15 0.7×	11	154
Eben Olson United States	6	36 0.4×	20 0.5×	47 1.1×	55 1.4×	32 1.5×	9	193
Clemens P. Spielvogel Austria	8	64 0.7×	95 2.2×	30 0.7×	15 0.4×	8 0.4×	30	223
Roman D. Buelow Germany	7	109 1.3×	85 1.9×	20 0.5×	17 0.4×	31 1.5×	8	192
Mingbo Cheng Germany	4	26 0.3×	26 0.6×	90 2.2×	20 0.5×	6 0.3×	7	152
Keluo Yao United States	8	83 1.0×	52 1.2×	9 0.2×	15 0.4×	13 0.6×	14	135
Jessica Kohan United States	5	48 0.6×	26 0.6×	61 1.5×	17 0.4×	29 1.4×	8	174
Ke Mei China	5	52 0.6×	35 0.8×	14 0.3×	5 0.1×	29 1.4×	21	110
Xiang‐He Meng China	8	70 0.8×	74 1.7×	59 1.4×	8 0.2×	15 0.7×	19	213
Alicja Rączkowska Poland	4	76 0.9×	49 1.1×	24 0.6×	15 0.4×	38 1.8×	4	121

Countries citing papers authored by David Manthey

Since Specialization

Citations

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

Fields of papers citing papers by David Manthey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Manthey

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

All Works

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11 of 11 papers shown

Manthey, David, et al.. (2025). NimbusImage: a cloud-computing platform for image analysis. Nature Methods. 23(1). 6–8.

Kumar, Suhas, David Manthey, О. И. Москаленко, et al.. (2025). ComPRePS 2.0: enabling massive-scale distributed computing on high-performance computing cluster for histopathological data processing. PubMed. 13413. 44–44. 2 indexed citations

Gutman, D., et al.. (2025). HistomicsTK: A Python toolkit for pathology image analysis algorithms. SoftwareX. 31. 102318–102318. 2 indexed citations

Daneshpajouhnejad, Parnaz, Xiaoping Yang, Xiaoxin X. Wang, et al.. (2022). PodoCount: A Robust, Fully Automated, Whole-Slide Podocyte Quantification Tool. Kidney International Reports. 7(6). 1377–1392. 8 indexed citations

Lutnick, Brendon, David Manthey, Jan U. Becker, et al.. (2022). A tool for federated training of segmentation models on whole slide images. Journal of Pathology Informatics. 13. 100101–100101. 5 indexed citations

Becker, Jan U., Jeffrey C. Miecznikowski, Avi Z. Rosenberg, et al.. (2021). PodoSighter: A Cloud-Based Tool for Label-Free Podocyte Detection in Kidney Whole-Slide Images. Journal of the American Society of Nephrology. 32(11). 2795–2813. 14 indexed citations

Lutnick, Brendon, et al.. (2021). User friendly, cloud based, whole slide image segmentation. PubMed. 11603. 6 indexed citations

Lutnick, Brendon, Brandon Ginley, Kuang‐Yu Jen, et al.. (2021). A distributed system improves inter-observer and AI concordance in annotating interstitial fibrosis and tubular atrophy. PubMed. 11603. 28–28. 1 indexed citations

Amgad, Mohamed, Hagar Hussein, Kareem Hosny Mohammed, et al.. (2021). Explainable nucleus classification using Decision Tree Approximation of Learned Embeddings. Bioinformatics. 38(2). 513–519. 10 indexed citations

10.

Chittajallu, Deepak R., Sanghoon Lee, Samuel Gerber, et al.. (2018). Vectorized persistent homology representations for characterizing glandular architecture in histology images. 232–235. 5 indexed citations

11.

Gutman, David A., Mohammed Khalilia, Sanghoon Lee, et al.. (2017). The Digital Slide Archive: A Software Platform for Management, Integration, and Analysis of Histology for Cancer Research. Cancer Research. 77(21). e75–e78. 100 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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