Emma C. de Moel

400 total citations
8 papers, 262 citations indexed

About

Emma C. de Moel is a scholar working on Rheumatology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Emma C. de Moel has authored 8 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Rheumatology, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Immunology. Recurrent topics in Emma C. de Moel's work include Monoclonal and Polyclonal Antibodies Research (5 papers), Rheumatoid Arthritis Research and Therapies (5 papers) and Systemic Lupus Erythematosus Research (4 papers). Emma C. de Moel is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (5 papers), Rheumatoid Arthritis Research and Therapies (5 papers) and Systemic Lupus Erythematosus Research (4 papers). Emma C. de Moel collaborates with scholars based in Netherlands, Canada and Japan. Emma C. de Moel's co-authors include T. Huizinga, Diane van der Woude, René E. M. Toes, Els M.E. Verdegaal, John B.A.G. Haanen, Jaap Bakker, Ellen Kapiteijn, Annette Grummels, Elisa A. Rozeman and Cornelia F Allaart and has published in prestigious journals such as Annals of the Rheumatic Diseases, Arthritis Research & Therapy and Arthritis & Rheumatology.

In The Last Decade

Emma C. de Moel

8 papers receiving 261 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Emma C. de Moel Netherlands	6	123	108	72	67	39	8	262
Isabelle Lemaire France	5	79 0.6×	187 1.7×	84 1.2×	105 1.6×	55 1.4×	6	343
Alicia Eimon Argentina	9	44 0.4×	186 1.7×	70 1.0×	170 2.5×	51 1.3×	14	317
Gro Østli Eilertsen Norway	11	62 0.5×	243 2.3×	68 0.9×	247 3.7×	44 1.1×	22	367
TRDJ Radstake Netherlands	10	52 0.4×	118 1.1×	34 0.5×	97 1.4×	43 1.1×	20	268
Shinichiro Nakachi Japan	10	73 0.6×	93 0.9×	26 0.4×	177 2.6×	50 1.3×	11	342
Azita Sohrabian Sweden	10	31 0.3×	192 1.8×	116 1.6×	133 2.0×	41 1.1×	21	286
Alice Lorenzi United Kingdom	8	31 0.3×	124 1.1×	36 0.5×	143 2.1×	28 0.7×	12	272
G Fredenhagen Germany	5	28 0.2×	219 2.0×	118 1.6×	61 0.9×	47 1.2×	5	316
Elena Fisheleva United States	7	45 0.4×	137 1.3×	52 0.7×	90 1.3×	24 0.6×	13	291
D M Gerlag Netherlands	6	60 0.5×	271 2.5×	132 1.8×	135 2.0×	26 0.7×	11	418

Countries citing papers authored by Emma C. de Moel

Since Specialization

Citations

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

Fields of papers citing papers by Emma C. de Moel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emma C. de Moel. 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 Emma C. de Moel. The network helps show where Emma C. de Moel may publish in the future.

Co-authorship network of co-authors of Emma C. de Moel

This figure shows the co-authorship network connecting the top 25 collaborators of Emma C. de Moel. A scholar is included among the top collaborators of Emma C. de Moel 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 Emma C. de Moel. Emma C. de Moel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Moel, Emma C. de, Leendert A. Trouw, Chikashi Terao, et al.. (2023). Geo-epidemiology of autoantibodies in rheumatoid arthritis: comparison between four ethnically diverse populations. Arthritis Research & Therapy. 25(1). 37–37. 6 indexed citations

Moel, Emma C. de, L. Heimans, Jan‐Åke Nilsson, et al.. (2020). Association Between Bone Mineral Density and Autoantibodies in Patients With Rheumatoid Arthritis. Arthritis & Rheumatology. 73(6). 921–930. 23 indexed citations

Moel, Emma C. de, V. Derksen, Leendert A. Trouw, et al.. (2020). SAT0585 GEO-EPIDEMIOLOGY OF AUTOANTIBODIES IN RA: DIFFERENT PREVALENCES IN FOUR ETHNICALLY DIVERSE RA POPULATIONS. Annals of the Rheumatic Diseases. 79. 1251–1252. 3 indexed citations

Moel, Emma C. de, V. Derksen, Leendert A. Trouw, et al.. (2019). In rheumatoid arthritis, changes in autoantibody levels reflect intensity of immunosuppression, not subsequent treatment response. Arthritis Research & Therapy. 21(1). 28–28. 45 indexed citations

Moel, Emma C. de, Jürgen Rech, Michael Mähler, et al.. (2019). Circulating calprotectin (S100A8/A9) is higher in rheumatoid arthritis patients that relapse within 12 months of tapering anti-rheumatic drugs. Arthritis Research & Therapy. 21(1). 268–268. 18 indexed citations

Hafkenscheid, Lise, Emma C. de Moel, Irene Smolik, et al.. (2019). OP0295 N-LINKED GLYCANS IN THE VARIABLE DOMAIN OF ACPA-IGG IN THE DEVELOPMENT OF RHEUMATOID ARTHRITIS. Annals of the Rheumatic Diseases. 78. 228–229. 1 indexed citations

Moel, Emma C. de, Elisa A. Rozeman, Ellen Kapiteijn, et al.. (2018). Autoantibody Development under Treatment with Immune-Checkpoint Inhibitors. Cancer Immunology Research. 7(1). 6–11. 129 indexed citations

Moel, Emma C. de, V. Derksen, Leendert A. Trouw, et al.. (2018). Baseline autoantibody profile in rheumatoid arthritis is associated with early treatment response but not long-term outcomes. Arthritis Research & Therapy. 20(1). 33–33. 37 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.

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