Heike Preibsch

790 citations
39 papers · 399 · h-index 11

Impact in

Papers in

Heike Preibsch

35 papers receiving 391 citations

Peers

Heike Preibsch
Comparison fields: 5 of 42
  • Obstetrics and Gynecology 55
  • Radiology, Nuclear Medicine and Imaging 162
  • Pathology and Forensic Medicine 77
  • Cancer Research 61
  • Pulmonary and Respiratory Medicine 81
Replace Naoya Gomi with:
Naoya Gomi Japan
Domiziana Santucci Italy
Caroline Malhaire France
Shin-Hyung Park South Korea
Eralda Mema United States
Liulu Zhang China
Noriko Ii Japan
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Mitsuhiro Takahashi Japan
Anupam Rishi United States
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Citations per field
00.5×3.8×
Naoya Gomi · 1×
Citations per year

Countries citing papers authored by Heike Preibsch

Since Specialization
Citations

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

Fields of papers citing papers by Heike Preibsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Heike Preibsch, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Heike Preibsch Line = papers co-authored together Heike Preibsch links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201562
2 201452
3 201737
4 201621
5 202321
6 201820
7 201418
8 201817
9 201716
10 201715
11 201813
12 202110
13 20149
14 20229
15 20179
16 20178
17 20187
18 20197
19 20137
20 20165

About Heike Preibsch

Heike Preibsch is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Surgery, Pathology and Forensic Medicine and Cancer Research, having authored 39 papers that have together received 399 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (11 papers), Medical Imaging Techniques and Applications (6 papers), Digital Radiography and Breast Imaging (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Advanced MRI Techniques and Applications (4 papers), Breast Cancer Treatment Studies (3 papers), Blood properties and coagulation (2 papers) and Gynecological conditions and treatments (2 papers). The work is most often cited by research in Obstetrics and Gynecology (55 citations), Radiology, Nuclear Medicine and Imaging (162 citations), Pathology and Forensic Medicine (77 citations), Cancer Research (61 citations) and Pulmonary and Respiratory Medicine (81 citations). Heike Preibsch has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Katja Siegmann-Luz, Konstantin Nikolaou, Annette Staebler, Beate Wietek, Markus Hahn, Benjamin Wiesinger, Sara Y. Brucker, Katharina Rall, Marius Horger and CD Claussen. Their work appears in journals such as European Radiology, Academic Radiology, Acta Radiologica, RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren and European Journal of Radiology.

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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