Daniel Boehm

25 papers receiving 541 citations

Peers

Daniel Boehm
Comparison fields: 5 of 69
  • Cancer Research 90
  • Obstetrics and Gynecology 38
  • Reproductive Medicine 43
  • Oncology 120
  • Public Health, Environmental and Occupational Health 118
Replace Claire S. Zhu with:
Claire S. Zhu United States
Miriam Rottmann Germany
Donglan Yuan China
Mohammad Faranoush Iran
Lesley Lomo United States
Marilyn Intengan United States
Radosław Charkiewicz Poland
Jenny Gross United States
Eliane T. Taube Germany
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Citations per field
00.5×4.8×
Claire S. Zhu · 1×
Citations per year

Countries citing papers authored by Daniel Boehm

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Boehm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200675
2
Diagnosis of breast cancer by tear proteomic pattern.
200972
3 200870
4 200870
5
Surface-enhanced Laser Desorption/Ionisation Time-of-flight Mass Spectrometry to Detect Breast Cancer Markers in Tears and Serum.
200956
6 201245
7 200843
8 201230
9 200924
10
Prognostic impact of haemoglobin levels in breast cancer.
200722
11 201717
12 20107
13 19837
14 20105
15 20204
16 20122
17 20132
18
Influence of resection volume on locoregional recurrence of breast cancer after breast-conserving surgery.
20082
19 20231
20 20071

About Daniel Boehm

Daniel Boehm is a scholar working on Cancer Research, Oncology, Public Health, Environmental and Occupational Health, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 26 papers that have together received 560 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (6 papers), Cancer Treatment and Pharmacology (2 papers), Breast Lesions and Carcinomas (2 papers), Estrogen and related hormone effects (2 papers), Cancer survivorship and care (2 papers), Reproductive Biology and Fertility (2 papers), Gestational Diabetes Research and Management (1 paper) and Ferroptosis and cancer prognosis (1 paper). The work is most often cited by research in Cancer Research (90 citations), Obstetrics and Gynecology (38 citations), Reproductive Medicine (43 citations), Oncology (120 citations) and Public Health, Environmental and Occupational Health (118 citations). Daniel Boehm has collaborated with scholars based in Germany, Switzerland and Finland. Frequent co-authors include Heinz Koelbl, Antje Lebrecht, Marcus Schmidt, Wulf Siggelkow, Franz H. Grus, R. Seufert, Theodoros Maltaris, Ralf Dittrich, Jan G. Hengstler and Mathias Gehrmann. Their work appears in journals such as Journal of Clinical Oncology, Archives of Gynecology and Obstetrics, Clinical Cancer Research, The Breast and BMC Cancer.

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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