C.J.M. Lips

37 papers receiving 1.2k citations

Peers

C.J.M. Lips
Comparison fields: 5 of 89
  • Endocrinology, Diabetes and Metabolism 639
  • Oncology 255
  • Surgery 349
  • Cancer Research 120
  • Epidemiology 251
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S Takai Japan
Brandon G. Bentz United States
Joseph J. Pinzone United States
Christoforos Giatzakis United States
Shlomo Melmed United States
M. Schlumberger France
Kazutaka Haraguchi Japan
Patricia Niccoli France
Laura Boucai United States
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Citations per field
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Citations per year

Countries citing papers authored by C.J.M. Lips

Since Specialization
Citations

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

Fields of papers citing papers by C.J.M. Lips

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C.J.M. Lips. 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 C.J.M. Lips. The network helps show where C.J.M. Lips may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995231
2 2007151
3 2006118
4 199670
5 197865
6 198964
7 200261
8
Bone marrow dosimetry and safety of high 131I activities given after recombinant human thyroid-stimulating hormone to treat metastatic differentiated thyroid cancer.
200460
9 198659
10 198747
11 200145
12 198943
13 199437
14 199029
15 200226
16
The clinical implications of a positive calcitonin test for C-cell hyperplasia in genetically unaffected members of an MEN2A kindred.
199325
17 199023
18 199019
19 199416
20 198516

About C.J.M. Lips

C.J.M. Lips is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Epidemiology, Molecular Biology and Oncology, having authored 39 papers that have together received 1.3k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (12 papers), Neuroendocrine Tumor Research Advances (9 papers), Alzheimer's disease research and treatments (8 papers), Pancreatic function and diabetes (6 papers), Diabetes Treatment and Management (4 papers), Neuroblastoma Research and Treatments (4 papers), Lung Cancer Research Studies (3 papers) and Pancreatitis Pathology and Treatment (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (639 citations), Oncology (255 citations), Surgery (349 citations), Cancer Research (120 citations) and Epidemiology (251 citations). C.J.M. Lips has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Jo W.M. Höppener, H.S. Jansz, Patricia Quarles van Ufford-Mannesse, Emile E. Voest, Margriet M. de Vries, Bernard A. Zonnenberg, Jan Willem B. de Groot, Th. P. Links, John M. H. de Klerk and Peter P. van Rijk. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, European Journal of Nuclear Medicine and Molecular Imaging, Journal of Internal Medicine, FEBS Letters and Diabetic Medicine.

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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