H.B. Lamberts

570 citations
30 papers · 447 · h-index 12

Impact in

Papers in

H.B. Lamberts

30 papers receiving 379 citations

Peers

H.B. Lamberts
Comparison fields: 5 of 78
  • Radiology, Nuclear Medicine and Imaging 103
  • Health, Toxicology and Mutagenesis 57
  • Pharmacology 59
  • Cardiology and Cardiovascular Medicine 76
  • Immunology 53
Replace H Ochi with:
H Ochi Japan
Y. Horn Israel
Е. Л. Лушникова Russia
Mario Venza Italy
Atsuhiko Maki Japan
Brenda V. Dawson United States
Rui Niu China
Katsuhiko Shinomiya Japan
Weili Liu China
Wenchang Sun China
H.B. Lamberts relative to H Ochi Japan H Ochi's profile →
Citations per field
00.5×6.3×
H Ochi · 1×
Citations per year

Countries citing papers authored by H.B. Lamberts

Since Specialization
Citations

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

Fields of papers citing papers by H.B. Lamberts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H.B. Lamberts. 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 H.B. Lamberts. The network helps show where H.B. Lamberts may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 196474
2 195853
3 198348
4 196346
5
Initial events in radiation-induced atheromatosis I. Activation of lysosomal enzymes.
197529
6 196120
7 197515
8 198415
9 197214
10 197714
11 196112
12 195812
13 198310
14 198510
15 19839
16
Initial events in radiation-induced atheromatosis. Pt. 1
19759
17 19718
18 19647
19 19647
20 19617

About H.B. Lamberts

H.B. Lamberts is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Organic Chemistry, Molecular Biology and Immunology, having authored 30 papers that have together received 447 indexed citations. Recurring topics across this work include Cardiovascular Disease and Adiposity (4 papers), Cardiac Imaging and Diagnostics (4 papers), Effects of Radiation Exposure (3 papers), Phenothiazines and Benzothiazines Synthesis and Activities (2 papers), N-Heterocyclic Carbenes in Organic and Inorganic Chemistry (2 papers), Coronary Interventions and Diagnostics (2 papers), Atherosclerosis and Cardiovascular Diseases (2 papers) and Radiation Effects and Dosimetry (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (103 citations), Health, Toxicology and Mutagenesis (57 citations), Pharmacology (59 citations), Cardiology and Cardiovascular Medicine (76 citations) and Immunology (53 citations). H.B. Lamberts has collaborated with scholars based in Netherlands, United Kingdom and Belgium. Frequent co-authors include R. Brinkman, W.G.R.M. de Boer, Freerk van Dijk, Jaap Jan Vos, A. W. T. Konings, Mj Hardonk, H. O. Nieweg, T H Thé, Peter Alexander and J. C. VAN DE GRAMPEL. Their work appears in journals such as Nature, British Journal of Cancer, Inorganica Chimica Acta, Journal of Medicinal Chemistry and The Lancet.

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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