VAS V. ROW

2.5k citations
63 papers · 1.9k indexed · h-index 24

VAS V. ROW

61 papers receiving 1.6k citations

Peers

VAS V. ROW
Comparison fields: 5 of 85
  • Endocrinology, Diabetes and Metabolism 1.1k
  • Immunology 545
  • Genetics 659
  • Radiology, Nuclear Medicine and Imaging 283
  • Pathology and Forensic Medicine 142
Replace H. Schleusener with:
H. Schleusener Germany
Naofumi Ishikawa Japan
R. Finke Germany
Fredrika Pekonen Finland
C. A. S. Pegg United Kingdom
Yaron Tomer United States
Makoto Iitaka Japan
Yuji Hiromatsu Japan
K Kasagi Japan
Andrew Demaine United Kingdom
VAS V. ROW relative to H. Schleusener Germany H. Schleusener's profile →
Citations per field
00.5×1.5×1.9×
H. Schleusener · 1×
Citations per year

Countries citing papers authored by VAS V. ROW

Since Specialization
Citations

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

Fields of papers citing papers by VAS V. ROW

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 198929
2 198824
3 198813
4 198842
5 19871
6 198713
7 19848
8 19817
9 198021
10 198084
11 197933
12 19742
13 19749
14 19730
15
Relationship of age-specific incidence rates to immunological aspects of Hashimoto's thyroiditis.
197321
16 19720
17 196915
18 1967150
19 19671
20
Anaplastic carcinoma of the thyroid with abnormal circulating iodoprotein: a case simulating subacute thyroiditis.
19669

About VAS V. ROW

VAS V. ROW is a scholar working on Endocrinology, Diabetes and Metabolism, Immunology, Genetics, Radiology, Nuclear Medicine and Imaging and Pediatrics, Perinatology and Child Health, having authored 63 papers that have together received 1.9k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (36 papers), Diabetes and associated disorders (19 papers), T-cell and B-cell Immunology (11 papers), Thyroid Cancer Diagnosis and Treatment (8 papers), Growth Hormone and Insulin-like Growth Factors (6 papers), Macrophage Migration Inhibitory Factor (6 papers), Neonatal Health and Biochemistry (5 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.1k citations), Immunology (545 citations), Genetics (659 citations), Radiology, Nuclear Medicine and Imaging (283 citations) and Pathology and Forensic Medicine (142 citations). VAS V. ROW has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Robert J. Volpe, C. Ezrin, Makoto Iitaka, Akira Sugenoya, L. Lamki, Krinos M. Trokoudes, Duncan J. Topliss, Mark P. Lewis, Jay Silverberg and Nadir R. Farid. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, European Journal of Endocrinology, Clinical Endocrinology, New England Journal of Medicine and The American Journal of 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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