V. B. Petersen

722 citations
24 papers · 637 · h-index 16

Impact in

Papers in

V. B. Petersen

23 papers receiving 555 citations

Peers

V. B. Petersen
Comparison fields: 5 of 57
  • Endocrinology, Diabetes and Metabolism 396
  • Radiology, Nuclear Medicine and Imaging 140
  • Genetics 128
  • Reproductive Medicine 36
  • Immunology 74
Replace S Ohtaki with:
S Ohtaki Japan
Hideshi Hirayu Japan
M.C. Sparkes United States
Mireille Ferrand France
Takahiro Kanatsuna Japan
L. J. Lewis United States
Cynthia Stover United States
Mabrouka Maamra United Kingdom
Phillip O. Morgan Australia
Kuo-Pao Yang United States
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Citations per field
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Citations per year

Countries citing papers authored by V. B. Petersen

Since Specialization
Citations

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

Fields of papers citing papers by V. B. Petersen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199676
2 197551
3 197545
4 198544
5 197744
6 199542
7 197737
8 197837
9 198737
10 197836
11 197434
12 199129
13 197727
14 199825
15 198019
16
Human thyroglobulin autoantibodies of subclasses IgG2 and IgG4 bind to different epitopes on thyroglobulin.
198919
17 198913
18 198612
19 19773
20 19913

About V. B. Petersen

V. B. Petersen is a scholar working on Endocrinology, Diabetes and Metabolism, Radiology, Nuclear Medicine and Imaging, Immunology, Molecular Biology and Surgery, having authored 24 papers that have together received 637 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (12 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Glycosylation and Glycoproteins Research (5 papers), T-cell and B-cell Immunology (5 papers), Thyroid Cancer Diagnosis and Treatment (3 papers), Neuropeptides and Animal Physiology (3 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers) and Growth Hormone and Insulin-like Growth Factors (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (396 citations), Radiology, Nuclear Medicine and Imaging (140 citations), Genetics (128 citations), Reproductive Medicine (36 citations) and Immunology (74 citations). V. B. Petersen has collaborated with scholars based in United Kingdom, Italy and Switzerland. Frequent co-authors include Bernard Rees Smith, Reginald Hall, R. Hall, Patrick Dawes, Jadwiga Furmaniak, Sandra M. McLachlan, Louise Prentice, D C Evered, F. Clark and C. A. S. Pegg. Their work appears in journals such as Clinical Endocrinology, The Journal of Clinical Endocrinology & Metabolism, Journal of Endocrinology, FEBS Letters and RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren.

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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