WW de Herder

1.1k citations
13 papers · 844 indexed · h-index 10

WW de Herder

13 papers receiving 819 citations

Peers

WW de Herder
Comparison fields: 5 of 51
  • Neurology 423
  • Endocrinology, Diabetes and Metabolism 343
  • Epidemiology 540
  • Oncology 418
  • Surgery 143
Replace Maria Vittoria Davì with:
Maria Vittoria Davì Italy
Simon Schimmack Germany
Catherine Bauters France
Maria Gryczyńska Poland
Seraina Muletta-Feurer Switzerland
Aude Houchard France
M Schlumberger France
J.C. Reubi Netherlands
Maria Adelaide Albergaria Pereira Brazil
Eleftherios Chatzellis Greece
WW de Herder relative to Maria Vittoria Davì Italy Maria Vittoria Davì's profile →
Citations per field
00.5×1.7×
Maria Vittoria Davì · 1×
Citations per year

Countries citing papers authored by WW de Herder

Since Specialization
Citations

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

Fields of papers citing papers by WW de Herder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by WW de Herder. 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 WW de Herder. The network helps show where WW de Herder may publish in the future.

Co-authorship network

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

All Works

13 of 13 papers shown
#Work
1
A randomized controlled study comparing treatment of gastro-entero-pancreatic neuroendocrine tumors (GEPNET) with 177Lu-DOTATATE alone and in combination with capecitabine
20183
2 201710
3
Efficacy, Safety and Pharmacokinetic Results from a Phase II Study of Pasireotide (SOM230) in the Treatment of Patients with Metastatic NETs Refractory or Resistant to Octreotide LAR
20105
4 200732
5 200710
6 200648
7 2005179
8 200511
9 2004415
10
The novel somatostatin analog SOM230 has a broad spectrum of inhibitory action on hormone release by human somatotroph, corticotroph and PRL-secreting pituitary adenomas in vitro
20032
11 200220
12 200212
13 199897

About WW de Herder

WW de Herder is a scholar working on Endocrinology, Diabetes and Metabolism, Neurology and Oncology, having authored 13 papers that have together received 844 indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (7 papers), Pituitary Gland Disorders and Treatments (5 papers), Neuroblastoma Research and Treatments (4 papers), Lung Cancer Research Studies (4 papers), Pancreatic and Hepatic Oncology Research (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Adrenal and Paraganglionic Tumors (2 papers) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Neurology (423 citations), Endocrinology, Diabetes and Metabolism (343 citations) and Epidemiology (540 citations). WW de Herder has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include AJ van der Lely, Larry K. Kvols, Bertram Wiedenmann, Eugene A. Woltering, Philippe Ruszniewski, Guido Rindi, G. Delle Fave, Martyn Caplin, K. Öberg and J. A. M. J. L. Janssen. Their work appears in journals such as The Lancet, Journal of Clinical Oncology and Annals of Oncology.

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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