Nicole Bechmann

2.6k citations
66 papers · 1.1k · 1 hit paper · h-index 19

Impact in

Papers in

Nicole Bechmann

62 papers receiving 1.1k citations

Hit Papers

Personalized Management of Pheochromocytoma and Paraganglioma 2021 · 200 citations
2000+1+3Years since publication50100150200

Peers

Nicole Bechmann
Comparison fields: 5 of 112
  • Cancer Research 352
  • Endocrinology, Diabetes and Metabolism 374
  • Biotechnology 122
  • Biomaterials 159
  • Neurology 165
Replace Lulu Han with:
Lulu Han China
Hua Gao China
Di Cui China
Tomoyasu Fukui Japan
M. A. Paz United States
Qin Yang China
Amalia Luce Italy
Éric Nguyen France
Dongmei Su China
Naohiro Nomura Japan
Nicole Bechmann relative to Lulu Han China Lulu Han's profile →
Citations per field
00.5×10×15.6×
Lulu Han · 1×
Citations per year

Countries citing papers authored by Nicole Bechmann

Since Specialization
Citations

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

Fields of papers citing papers by Nicole Bechmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Personalized Management of Pheochromocytoma and Paraganglioma
Hit paper breakdown →
2021200
2 201969
3 202156
4 201944
5 202037
6 201833
7 201933
8 201832
9 202229
10 201929
11 202127
12 201825
13 201425
14 201824
15 201524
16 202224
17 201823
18 202221
19 202218
20 201818

About Nicole Bechmann

Nicole Bechmann is a scholar working on Surgery, Cancer Research, Endocrinology, Diabetes and Metabolism, Neurology and Molecular Biology, having authored 66 papers that have together received 1.1k indexed citations. Recurring topics across this work include Adrenal and Paraganglionic Tumors (29 papers), Cancer, Hypoxia, and Metabolism (26 papers), Hormonal Regulation and Hypertension (17 papers), Neuroblastoma Research and Treatments (12 papers), Pituitary Gland Disorders and Treatments (11 papers), Marine Sponges and Natural Products (9 papers), Marine Biology and Environmental Chemistry (7 papers) and Inflammatory mediators and NSAID effects (4 papers). The work is most often cited by research in Cancer Research (352 citations), Endocrinology, Diabetes and Metabolism (374 citations), Biotechnology (122 citations), Biomaterials (159 citations) and Neurology (165 citations). Nicole Bechmann has collaborated with scholars based in Germany, Poland and United States. Frequent co-authors include Graeme Eisenhofer, Stefan R. Bornstein, Svenja Nölting, Felix Beuschlein, Martin Faßnacht, David Taïeb, Jens Pietzsch, Ashley Grossman, Karel Pacák and Matthias Kroiß. Their work appears in journals such as Marine Drugs, Cancers, Hormone and Metabolic Research, Frontiers in Endocrinology and The Journal of Clinical Endocrinology & Metabolism.

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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