P. Kann

594 citations
26 papers · 390 · h-index 11

Impact in

Papers in

P. Kann

25 papers receiving 374 citations

Peers

P. Kann
Comparison fields: 5 of 53
  • Orthopedics and Sports Medicine 105
  • Oncology 179
  • Neurology 94
  • Endocrinology, Diabetes and Metabolism 100
  • Epidemiology 161
Replace Maria Caroline Alves Coelho with:
Maria Caroline Alves Coelho Brazil
Marilda Mormando Italy
P. Geusens Netherlands
Ji Young Joung South Korea
Benzon M. Dy United States
S. Horlait France
L Larrodera Spain
Monika Buziak‐Bereza Poland
Thomas S. Reeve Australia
Pia Lindblom Sweden
P. Kann relative to Maria Caroline Alves Coelho Brazil Maria Caroline Alves Coelho's profile →
Citations per field
00.5×1.5×2.4×
Maria Caroline Alves Coelho · 1×
Citations per year

Countries citing papers authored by P. Kann

Since Specialization
Citations

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

Fields of papers citing papers by P. Kann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside P. Kann, 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 P. Kann Line = papers co-authored together P. Kann 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 200772
2 201645
3 200845
4 200133
5 200532
6
Endosonography of insulin-secreting and clinically non-functioning neuroendocrine tumors of the pancreas: criteria for benignancy and malignancy.
200131
7 201126
8 201118
9 200518
10 200412
11 200512
12 200910
13 20125
14 20094
15 20024
16 20044
17 20053
18 19983
19 20082
20 20042

About P. Kann

P. Kann is a scholar working on Oncology, Endocrinology, Diabetes and Metabolism, Orthopedics and Sports Medicine, Surgery and Epidemiology, having authored 26 papers that have together received 390 indexed citations. Recurring topics across this work include Bone health and treatments (8 papers), Bone health and osteoporosis research (7 papers), Pituitary Gland Disorders and Treatments (5 papers), Neuroendocrine Tumor Research Advances (5 papers), Adrenal and Paraganglionic Tumors (5 papers), Hormonal Regulation and Hypertension (4 papers), Neuroblastoma Research and Treatments (4 papers) and Pancreatic and Hepatic Oncology Research (3 papers). The work is most often cited by research in Orthopedics and Sports Medicine (105 citations), Oncology (179 citations), Neurology (94 citations), Endocrinology, Diabetes and Metabolism (100 citations) and Epidemiology (161 citations). P. Kann has collaborated with scholars based in Germany, Switzerland and Brazil. Frequent co-authors include Μ. Rothmund, Peter Langer, J. Waldmann, Detlef K. Bartsch, Silke Meyer, V. Fendrich, A. Zielke, Peyman Hadji, KJ Klose and J. Beyer. Their work appears in journals such as Experimental and Clinical Endocrinology & Diabetes, Osteoporosis International, Clinical Rheumatology, The Aging Male 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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