J. Teng

1.5k total citations · 1 hit paper
4 papers, 1.1k citations indexed

About

J. Teng is a scholar working on Rheumatology, Hematology and Pathology and Forensic Medicine. According to data from OpenAlex, J. Teng has authored 4 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Rheumatology, 4 papers in Hematology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in J. Teng's work include Rheumatoid Arthritis Research and Therapies (4 papers), Autoimmune and Inflammatory Disorders Research (4 papers) and Lymphoma Diagnosis and Treatment (2 papers). J. Teng is often cited by papers focused on Rheumatoid Arthritis Research and Therapies (4 papers), Autoimmune and Inflammatory Disorders Research (4 papers) and Lymphoma Diagnosis and Treatment (2 papers). J. Teng collaborates with scholars based in United States, Germany and France. J. Teng's co-authors include J-C Becker, Piet L. C. M. van Riel, Daniel Aletaha, Maxime Dougados, Michael Schiff, George A. Wells, Josef S Smolen, R. Aranda, M. Schiff and Manuela Le Bars and has published in prestigious journals such as Annals of the Rheumatic Diseases and Arthritis & Rheumatism.

In The Last Decade

J. Teng

4 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Validation of the 28-joint Disease Activity Score (DAS28) and European League Against Rheumatism response criteria based on C-reactive protein against disease progression in patients with rheumatoid arthritis, and comparison with the DAS28 based on erythrocyte sedimentation rate

2008 624 citations George A. Wells, J-C Becker et al. Annals of the Rheumatic Diseases profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
J. Teng United States	4	839	395	263	201	174	4	1.1k
Stephan Pflugbeil Austria	7	1.1k 1.3×	385 1.0×	205 0.8×	159 0.8×	185 1.1×	8	1.2k
P. L. C. M. van Riel Netherlands	19	931 1.1×	332 0.8×	285 1.1×	202 1.0×	295 1.7×	25	1.3k
S M van der Kooij Netherlands	15	966 1.2×	358 0.9×	191 0.7×	269 1.3×	140 0.8×	17	1.1k
Ronald Rosenburg Germany	8	855 1.0×	354 0.9×	160 0.6×	203 1.0×	178 1.0×	11	1.2k
Piet Jacobs Netherlands	3	1.2k 1.5×	485 1.2×	151 0.6×	204 1.0×	180 1.0×	3	1.3k
F. Navarro-Sarabia Spain	16	933 1.1×	367 0.9×	327 1.2×	164 0.8×	92 0.5×	27	1.1k
Manuela Le Bars France	19	983 1.2×	340 0.9×	216 0.8×	228 1.1×	179 1.0×	60	1.2k
H D Boloşiu Romania	8	916 1.1×	389 1.0×	141 0.5×	160 0.8×	155 0.9×	17	1.1k
W. Demary Germany	9	756 0.9×	333 0.8×	280 1.1×	225 1.1×	189 1.1×	16	1.3k
H. R. Van Den Brink Netherlands	11	991 1.2×	351 0.9×	171 0.7×	158 0.8×	142 0.8×	14	1.2k

Countries citing papers authored by J. Teng

Since Specialization

Citations

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

Fields of papers citing papers by J. Teng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Teng

This figure shows the co-authorship network connecting the top 25 collaborators of J. Teng. A scholar is included among the top collaborators of J. Teng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J. Teng. J. Teng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

4 of 4 papers shown

1.

Léon, G., Eduardo Mysler, M. Keiserman, et al.. (2011). Subcutaneous abatacept versus intravenous abatacept: A phase IIIb noninferiority study in patients with an inadequate response to methotrexate. Arthritis & Rheumatism. 63(10). 2854–2864. 155 indexed citations

2.

Wells, George A., J-C Becker, J. Teng, et al.. (2008). Validation of the 28-joint Disease Activity Score (DAS28) and European League Against Rheumatism response criteria based on C-reactive protein against disease progression in patients with rheumatoid arthritis, and comparison with the DAS28 based on erythrocyte sedimentation rate. Annals of the Rheumatic Diseases. 68(6). 954–960. 624 indexed citations breakdown →

3.

Genant, H K, Charles Peterfy, René Westhovens, et al.. (2007). Abatacept inhibits progression of structural damage in rheumatoid arthritis: results from the long-term extension of the AIM trial. Annals of the Rheumatic Diseases. 67(8). 1084–1089. 112 indexed citations

4.

Genovese, Mark C., M. Schiff, Michael E. Luggen, et al.. (2007). Efficacy and safety of the selective co-stimulation modulator abatacept following 2 years of treatment in patients with rheumatoid arthritis and an inadequate response to anti-tumour necrosis factor therapy. Annals of the Rheumatic Diseases. 67(4). 547–554. 204 indexed citations

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.

Explore authors with similar magnitude of impact