A.-M. Teppo

2.2k citations
55 papers · 1.8k · h-index 21

Impact in

Papers in

A.-M. Teppo

55 papers receiving 1.7k citations

Peers

A.-M. Teppo
Comparison fields: 5 of 106
  • Nephrology 264
  • Endocrinology, Diabetes and Metabolism 266
  • Immunology 301
  • Rheumatology 152
  • Clinical Biochemistry 72
Replace D. Caccavo with:
D. Caccavo Italy
Katsumi Ito Japan
Tamotsu Matsuda Japan
J E Castro United Kingdom
Santhosh V. Kumar Germany
Joung‐Liang Lan Taiwan
Verónica Azcutia United States
Patrick Stordeur Belgium
Jean‐Michel Goujon France
E Fischer United States
A.-M. Teppo relative to D. Caccavo Italy D. Caccavo's profile →
Citations per field
00.5×6.5×
D. Caccavo · 1×
Citations per year

Countries citing papers authored by A.-M. Teppo

Since Specialization
Citations

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

Fields of papers citing papers by A.-M. Teppo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A.-M. Teppo. 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 A.-M. Teppo. The network helps show where A.-M. Teppo may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003205
2 1993196
3 1987132
4 1999113
5 1998104
6 198297
7 199984
8 200480
9 199254
10
Tumor necrosis factor in children with malignancies.
199053
11 199744
12 199243
13 199134
14
Comparative study of serum amyloid-related protein SAA, C-reactive protein, and beta 2-microglobulin as markers of renal allograft rejection.
198434
15 198930
16 198830
17 199125
18 198223
19 199422
20 200121

About A.-M. Teppo

A.-M. Teppo is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Rheumatology, Molecular Biology and Epidemiology, having authored 55 papers that have together received 1.8k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (12 papers), Systemic Lupus Erythematosus Research (8 papers), Celiac Disease Research and Management (6 papers), T-cell and B-cell Immunology (5 papers), Galectins and Cancer Biology (4 papers), Glycosylation and Glycoproteins Research (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Salivary Gland Disorders and Functions (3 papers). The work is most often cited by research in Nephrology (264 citations), Endocrinology, Diabetes and Metabolism (266 citations), Immunology (301 citations), Rheumatology (152 citations) and Clinical Biochemistry (72 citations). A.-M. Teppo has collaborated with scholars based in Finland, Sweden and United States. Frequent co-authors include C. P. J. Maury, Per‐Henrik Groop, Carol Forsblom, Johan Fagerudd, Markku Saraheimo, Leif Groop, Johan G. Eriksson, Agneta Ekstrand, Kaj Metsärinne and Peter R. Ebeling. Their work appears in journals such as Diabetologia, Clinical Chemistry, Scandinavian Journal of Rheumatology, British Journal of Ophthalmology and The Journal of Infectious Diseases.

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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