Gerhard Adam

16.7k total citations · 1 hit paper
536 papers, 12.2k citations indexed

About

Gerhard Adam is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Gerhard Adam has authored 536 papers receiving a total of 12.2k indexed citations (citations by other indexed papers that have themselves been cited), including 263 papers in Radiology, Nuclear Medicine and Imaging, 121 papers in Surgery and 105 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Gerhard Adam's work include Advanced MRI Techniques and Applications (121 papers), Cardiac Imaging and Diagnostics (93 papers) and MRI in cancer diagnosis (51 papers). Gerhard Adam is often cited by papers focused on Advanced MRI Techniques and Applications (121 papers), Cardiac Imaging and Diagnostics (93 papers) and MRI in cancer diagnosis (51 papers). Gerhard Adam collaborates with scholars based in Germany, United States and Finland. Gerhard Adam's co-authors include Rolf W. Günther, Harald Ittrich, Michael G. Kaul, C Nolte-Ernsting, Peter Bannas, Gunnar Lund, Kai Muellerleile, Jin Yamamura, Christian R. Habermann and Alexander Stork and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nano Letters.

In The Last Decade

Gerhard Adam

516 papers receiving 11.9k 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.

Exceedingly small iron oxide nanoparticles as positive MRI contrast agents

2017 396 citations Michael G. Kaul, Gerhard Adam et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gerhard Adam Germany	54	4.7k	2.9k	2.6k	2.2k	1.7k	536	12.2k
Farouc A. Jaffer United States	48	3.6k 0.8×	3.4k 1.2×	2.4k 0.9×	2.3k 1.1×	2.7k 1.6×	205	9.6k
Ernst J. Rummeny Germany	61	7.6k 1.6×	3.1k 1.1×	3.9k 1.5×	2.2k 1.0×	697 0.4×	462	15.0k
Bernd Hamm Germany	73	9.5k 2.0×	5.3k 1.8×	4.1k 1.6×	4.8k 2.2×	1.6k 0.9×	905	22.0k
Jürgen K. Willmann United States	54	3.8k 0.8×	1.7k 0.6×	5.2k 2.0×	1.4k 0.6×	464 0.3×	166	11.0k
Roland Felix Germany	47	2.9k 0.6×	1.5k 0.5×	3.5k 1.4×	2.0k 0.9×	530 0.3×	192	9.1k
Stefan G. Ruehm Germany	42	3.2k 0.7×	1.4k 0.5×	1.2k 0.5×	1.9k 0.9×	679 0.4×	142	6.9k
Thomas J. Vogl Germany	73	8.6k 1.8×	5.8k 2.0×	7.3k 2.8×	4.2k 2.0×	1.1k 0.7×	874	22.1k
Peter F. Hahn United States	73	5.3k 1.1×	7.0k 2.4×	2.6k 1.0×	4.0k 1.9×	402 0.2×	313	17.4k
Rolf W. Günther Germany	56	6.3k 1.3×	3.8k 1.3×	2.8k 1.1×	4.3k 2.0×	2.1k 1.3×	680	14.1k
Gooitzen M. van Dam Netherlands	48	1.7k 0.4×	2.3k 0.8×	3.1k 1.2×	2.2k 1.0×	338 0.2×	169	8.8k

Countries citing papers authored by Gerhard Adam

Since Specialization

Citations

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

Fields of papers citing papers by Gerhard Adam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerhard Adam

This figure shows the co-authorship network connecting the top 25 collaborators of Gerhard Adam. A scholar is included among the top collaborators of Gerhard Adam 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 Gerhard Adam. Gerhard Adam 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

Well, Lennart, et al.. (2024). Tumor Response Evaluation Using iRECIST: Feasibility and Reliability of Manual Versus Software-Assisted Assessments. Cancers. 16(5). 993–993. 2 indexed citations

Groth, Michael, Lutz Fischer, Uta Herden, et al.. (2023). Impact of probe-induced abdominal compression on two-dimensional shear wave elastography measurement of split liver transplants in children. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 195(10). 905–912. 3 indexed citations

Piecha, Felix, Ann‐Kathrin Ozga, Daniel Benten, et al.. (2023). Preoperative TIPS and in-hospital mortality in patients with cirrhosis undergoing surgery. JHEP Reports. 6(1). 100914–100914. 9 indexed citations

Riedel, Christoph, Alexander Lenz, Lennart Well, et al.. (2023). Current Imaging Strategies in Patients with Abdominal Aortic Aneurysms. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 196(1). 52–61. 2 indexed citations

Riedel, Christoph, Alexander Lenz, Bjoern P. Schoennagel, et al.. (2023). Validation of 4D flow cardiovascular magnetic resonance in TIPS stent grafts using a 3D-printed flow phantom. Journal of Cardiovascular Magnetic Resonance. 25(1). 9–9. 4 indexed citations

Jahnke, Charlotte, Ersin Çavuş, Jennifer Erley, et al.. (2023). Differentiation of acute non-ST elevation myocardial infarction and acute infarct-like myocarditis by visual pattern analysis: a head-to-head comparison of different cardiac MR techniques. European Radiology. 33(9). 6258–6266. 1 indexed citations

Szwargulski, Patryk, Michael G. Kaul, Matthias Graeser, et al.. (2023). Real-time multi-contrast magnetic particle imaging for the detection of gastrointestinal bleeding. Scientific Reports. 13(1). 22976–22976. 4 indexed citations

Madesta, Frederic, Lennart Well, Isabel Molwitz, et al.. (2022). Evaluation of magnetic resonance imaging-based radiomics characteristics for differentiation of benign and malignant peripheral nerve sheath tumors in neurofibromatosis type 1. Neuro-Oncology. 24(10). 1790–1798. 14 indexed citations

Çavuş, Ersin, Charlotte Jahnke, Gerhard Schön, et al.. (2022). CMR feature tracking in patients with dilated cardiomyopathy: patterns of myocardial strain and focal fibrosis. Open Heart. 9(2). e002013–e002013. 2 indexed citations

10.

Fluschnik, Nina, Enver Tahir, Jennifer Erley, et al.. (2022). 3 Tesla magnetic resonance imaging in patients with cardiac implantable electronic devices: a single centre experience. EP Europace. 25(2). 571–577. 7 indexed citations

11.

Well, Lennart, Lan Kluwe, Peter Bannas, et al.. (2021). Genotype-phenotype correlation in neurofibromatosis type-1: NF1 whole gene deletions lead to high tumor-burden and increased tumor-growth. PLoS Genetics. 17(5). e1009517–e1009517. 15 indexed citations

12.

Rausch, Vanessa, Julius Matthias Weinrich, Gerhard Schön, et al.. (2021). Accuracy of preoperative CT staging of acute colonic diverticulitis using the classification of diverticular disease (CDD) – Is there a beneficial impact of water enema and visceral obesity?. European Journal of Radiology. 141. 109813–109813. 3 indexed citations

13.

Baltruschat, Ivo M., Hannes Nickisch, Axel Saalbach, et al.. (2020). Smart chest X-ray worklist prioritization using artificial intelligence: a clinical workflow simulation. PUBLISSO (German National Library of Medicine). 56 indexed citations

14.

Hambach, Julia, Kristoffer Riecken, Nicolaus Kröger, et al.. (2020). Targeting CD38-Expressing Multiple Myeloma and Burkitt Lymphoma Cells In Vitro with Nanobody-Based Chimeric Antigen Receptors (Nb-CARs). Cells. 9(2). 321–321. 59 indexed citations

15.

Welsch, Goetz H., et al.. (2020). Magnetic resonance imaging of midtarsal sprain: Prevalence and impact on the time of return to play in professional soccer players. European Journal of Radiology. 135. 109491–109491.

16.

Ernst, Thomas, et al.. (2018). Comparative analysis of high field MRI and histology for ex vivo whole organ imaging: assessment of placental functional morphology in a murine model. Magnetic Resonance Materials in Physics Biology and Medicine. 32(2). 197–204. 2 indexed citations

17.

Kording, Fabian, Jin Yamamura, M. Tavares de Sousa, et al.. (2018). Dynamic fetal cardiovascular magnetic resonance imaging using Doppler ultrasound gating. Journal of Cardiovascular Magnetic Resonance. 20(1). 17–17. 59 indexed citations

18.

Laqmani, Azien, Maxim Avanesov, Sebastian Butscheidt, et al.. (2016). Comparison of image quality and visibility of normal and abnormal findings at submillisievert chest CT using filtered back projection, iterative model reconstruction (IMR) and iDose 4 ™. European Journal of Radiology. 85(11). 1971–1979. 28 indexed citations

19.

Bannas, Peter, Alexander Lenz, Björn Rissiek, et al.. (2015). Validation of Nanobody and Antibody Based <em>In Vivo</em> Tumor Xenograft NIRF-imaging Experiments in Mice Using <em>Ex Vivo</em> Flow Cytometry and Microscopy. Journal of Visualized Experiments. 1 indexed citations

20.

Adam, Gerhard, et al.. (1988). Das Patella-Nagel-Syndrom. Untersuchung von zwei Familien. Der Radiologe. 28(12). 648–651. 1 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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