JT Merrill

1.3k citations
26 papers · 668 · h-index 9

Impact in

    • Systemic Lupus Erythematosus Research
  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Atherosclerosis and Cardiovascular Diseases
    • Immune Cell Function and Interaction

Papers in

JT Merrill

25 papers receiving 653 citations

Peers

JT Merrill
Comparison fields: 5 of 54
  • Rheumatology 454
  • Immunology 307
  • Radiology, Nuclear Medicine and Imaging 146
  • Ophthalmology 44
  • Hematology 45
Replace Bernie Scallon with:
Bernie Scallon United States
Vicente Baca Mexico
Vincent Ruland Germany
Y.W. Song South Korea
Fu-lin Tang China
Emma Ross United Kingdom
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Citations per field
00.5×3.7×
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Citations per year

Countries citing papers authored by JT Merrill

Since Specialization
Citations

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

Fields of papers citing papers by JT Merrill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011193
2 2007134
3 2011103
4 199699
5 199142
6 200516
7 202216
8
The Efficacy and Safety of Abatacept in SLE: Results of a 12-month Exploratory Study
200815
9 200410
10 20058
11 20175
12 20165
13 20183
14 20003
15 20172
16 20222
17 20172
18 20162
19 20132
20 20111

About JT Merrill

JT Merrill is a scholar working on Rheumatology, Radiology, Nuclear Medicine and Imaging, Immunology, Oncology and Genetics, having authored 26 papers that have together received 668 indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (19 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Cytokine Signaling Pathways and Interactions (4 papers), Lymphoma Diagnosis and Treatment (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), Platelet Disorders and Treatments (2 papers) and Chemokine receptors and signaling (2 papers). The work is most often cited by research in Rheumatology (454 citations), Immunology (307 citations), Radiology, Nuclear Medicine and Imaging (146 citations), Ophthalmology (44 citations) and Hematology (45 citations). JT Merrill has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include R G Lahita, Jill P. Buyon, Caroline Gordon, Paul Brunetta, Kyriakos A. Kirou, Vishala Chindalore, James Ja, M. Pétri, Bahija Jallal and S.M. Berney. Their work appears in journals such as Annals of the Rheumatic Diseases, Lupus, Clinical and Experimental Rheumatology, The Journal of Immunology and Cleveland Clinic 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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