Maret Böhm

2.3k citations
31 papers · 1.6k · h-index 21

Impact in

Papers in

Maret Böhm

31 papers receiving 1.6k citations

Peers

Maret Böhm
Comparison fields: 5 of 76
  • Pulmonary and Respiratory Medicine 871
  • Biotechnology 150
  • Health Informatics 15
  • Radiology, Nuclear Medicine and Imaging 233
  • Cancer Research 106
Replace Anne‐Maree Haynes with:
Anne‐Maree Haynes Australia
C. Dilara Savci‐Heijink Netherlands
Jasreman Dhillon United States
Pascale Maillé France
Lingchuan Guo China
Joyce Sanders Netherlands
Christian D. Fankhauser Switzerland
Hong Ge China
Huihui Ye United States
Ken Grigor United Kingdom
Maret Böhm relative to Anne‐Maree Haynes Australia Anne‐Maree Haynes's profile →
Citations per field
00.5×1.5×2.0×
Anne‐Maree Haynes · 1×
Citations per year

Countries citing papers authored by Maret Böhm

Since Specialization
Citations

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

Fields of papers citing papers by Maret Böhm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014182
2 2015127
3 2013125
4 2004118
5 2016115
6 2017105
7 201795
8 201894
9 200391
10 201584
11 200968
12 201752
13 201848
14 200743
15 200641
16 201734
17 201732
18 201826
19 201826
20 201525

About Maret Böhm

Maret Böhm is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Cancer Research, Radiology, Nuclear Medicine and Imaging and Biotechnology, having authored 31 papers that have together received 1.6k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (13 papers), Microbial Inactivation Methods (4 papers), RNA Research and Splicing (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Prostate Cancer Treatment and Research (3 papers), Cancer, Lipids, and Metabolism (2 papers), Drug Transport and Resistance Mechanisms (2 papers) and NF-κB Signaling Pathways (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (871 citations), Biotechnology (150 citations), Health Informatics (15 citations), Radiology, Nuclear Medicine and Imaging (233 citations) and Cancer Research (106 citations). Maret Böhm has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include Phillip D. Stricker, James Thompson, Warick Delprado, Anne‐Maree Haynes, Karl‐Heinz Klempnauer, Daniel Moses, Phillip Brenner, Ron Shnier, Nadja Bitomsky and Andrew Hayen. Their work appears in journals such as British Journal of Urology, Oncogene, The Journal of Urology, European Urology and Journal of Magnetic Resonance Imaging.

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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