Martin Ullrich

1.2k citations
55 papers · 835 · h-index 17

Impact in

Papers in

    • Radiopharmaceutical Chemistry and Applications 17
    • Medical Imaging Techniques and Applications 6
    • Monoclonal and Polyclonal Antibodies Research 5
    • Adrenal and Paraganglionic Tumors 13

Martin Ullrich

50 papers receiving 795 citations

Peers

Martin Ullrich
Comparison fields: 5 of 92
  • Cancer Research 178
  • Radiology, Nuclear Medicine and Imaging 185
  • Endocrinology, Diabetes and Metabolism 131
  • Oncology 167
  • Biomaterials 70
Replace Mark E. Lobatto with:
Mark E. Lobatto Netherlands
Koki Hasegawa Japan
Inge A. Ivens Germany
Chenying Lu China
Swati Gupta United States
Yawen Guo China
Kira Foygel United States
Hazel C. Cable United Kingdom
Bart J. Crielaard Netherlands
Martin Ullrich relative to Mark E. Lobatto Netherlands Mark E. Lobatto's profile →
Citations per field
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Citations per year

Countries citing papers authored by Martin Ullrich

Since Specialization
Citations

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

Fields of papers citing papers by Martin Ullrich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Martin Ullrich, 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 Martin Ullrich Line = papers co-authored together Martin Ullrich links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019106
2 197191
3 201349
4 197044
5 202041
6 201238
7 201638
8 202032
9 201929
10 202229
11 196924
12 202124
13 201921
14 202320
15 201418
16 201716
17 201416
18 202115
19 202312
20 201611

About Martin Ullrich

Martin Ullrich is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery, Cancer Research, Molecular Biology and Oncology, having authored 55 papers that have together received 835 indexed citations. Recurring topics across this work include Radiopharmaceutical Chemistry and Applications (17 papers), Adrenal and Paraganglionic Tumors (13 papers), Cancer, Hypoxia, and Metabolism (11 papers), Neuroblastoma Research and Treatments (7 papers), Medical Imaging Techniques and Applications (6 papers), Neuroendocrine Tumor Research Advances (6 papers), Pituitary Gland Disorders and Treatments (5 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). The work is most often cited by research in Cancer Research (178 citations), Radiology, Nuclear Medicine and Imaging (185 citations), Endocrinology, Diabetes and Metabolism (131 citations), Oncology (167 citations) and Biomaterials (70 citations). Martin Ullrich has collaborated with scholars based in Germany, Czechia and United States. Frequent co-authors include U. Hagen, Jens Pietzsch, František Štĕpánek, Jaroslav Hanuš, Graeme Eisenhofer, Christian G. Ziegler, Jiřı́ Dohnal, Svenja Nölting, Michael Bachmann and Ashley Grossman. Their work appears in journals such as Cancers, Journal of Medicinal Chemistry, Theranostics, Chemie Ingenieur Technik and Oncotarget.

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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