Peter Lind

975 citations
19 papers · 713 · h-index 12

Impact in

Papers in

Peter Lind

19 papers receiving 694 citations

Peers

Peter Lind
Comparison fields: 5 of 82
  • Endocrinology, Diabetes and Metabolism 253
  • Radiology, Nuclear Medicine and Imaging 324
  • Virology 49
  • Radiation 41
  • Oncology 110
Replace Masakazu Abe with:
Masakazu Abe Japan
Steven G. Roberts United States
P Peltier France
Yijun Wu China
Katsumi Aoyagi Japan
J Weinberger United States
Timothy Judge United States
Sith Phongkitkarun Thailand
Susen Burock Germany
G.G. Di Costanzo Italy
Peter Lind relative to Masakazu Abe Japan Masakazu Abe's profile →
Citations per field
00.5×10×13.7×
Masakazu Abe · 1×
Citations per year

Countries citing papers authored by Peter Lind

Since Specialization
Citations

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

Fields of papers citing papers by Peter Lind

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2003126
2 1996104
3 201593
4 200677
5 200663
6 201061
7
Technetium-99m-tetrofosmin whole-body scintigraphy in the follow-up of differentiated thyroid carcinoma.
199744
8 199932
9
Thyroglobulin and low-dose iodine-131 and technetium-99m-tetrofosmin whole-body scintigraphy in differentiated thyroid carcinoma.
199832
10 200026
11 199721
12 199013
13 20087
14 20035
15
20034
16 19962
17 20051
18
Baggrundsundersøgelser ifm. udarbejdelse af Nationale Annekser til EN1990 og EN1991
20091
19 19971

About Peter Lind

Peter Lind is a scholar working on Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine, Epidemiology and Infectious Diseases, having authored 19 papers that have together received 713 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (9 papers), Radiopharmaceutical Chemistry and Applications (7 papers), Medical Imaging and Pathology Studies (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Medical Imaging Techniques and Applications (3 papers), Radiation Dose and Imaging (3 papers), HIV Research and Treatment (1 paper) and Coal Combustion and Slurry Processing (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (253 citations), Radiology, Nuclear Medicine and Imaging (324 citations), Virology (49 citations), Radiation (41 citations) and Oncology (110 citations). Peter Lind has collaborated with scholars based in Austria, Sweden and Denmark. Frequent co-authors include E. Kresnik, Peter Mikosch, Susanne Kohlfürst, Isabel Igerc, H. J. Gallowitsch, Iris Gomez, G. Kumnig, Johann Gasser, Jacobo Cal-González and Ivo Rausch. Their work appears in journals such as Investigative Radiology, European Journal of Nuclear Medicine and Molecular Imaging, EJNMMI Physics, Seminars in Nuclear Medicine and International Journal for Parasitology.

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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