K. Mariampillai

2.6k citations
28 papers · 906 indexed · 1 hit paper · h-index 14

K. Mariampillai

25 papers receiving 897 citations

Hit Papers

Development of a New Classification System for Idiopathic...267201820262020202350100150200250

Peers

K. Mariampillai
Comparison fields: 5 of 60
  • Rheumatology 344
  • Epidemiology 628
  • Dermatology 107
  • Pathology and Forensic Medicine 211
  • Immunology 160
Replace Sevim Barbasso Helmers with:
Sevim Barbasso Helmers Sweden
Stuart M. Levine United States
Shabina Sultan United Kingdom
Hisae Ichida Japan
Mengshu Cao China
Sigong Zhang China
Makoto Soejima Japan
F. Ogawa Japan
Jill Novitzke United States
Satomi Kasashima Japan
K. Mariampillai relative to Sevim Barbasso Helmers Sweden Sevim Barbasso Helmers's profile →
Citations per field
00.5×3.1×
Sevim Barbasso Helmers · 1×
Citations per year

Countries citing papers authored by K. Mariampillai

Since Specialization
Citations

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

Fields of papers citing papers by K. Mariampillai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20249
3 20232
4 20227
5 202220
6 202127
7 202023
8 202018
9 20200
10 201920
11 201926
12 20198
13 201853
14 201819
15
Development of a New Classification System for Idiopathic Inflammatory Myopathies Based on Clinical Manifestations and Myositis-Specific Autoantibodiesbreakdown →
2018267
16 201639
17 201592
18 201568
19 201437
20 2012147

About K. Mariampillai

K. Mariampillai is a scholar working on Rheumatology, Epidemiology and Dermatology, having authored 28 papers that have together received 906 indexed citations. Recurring topics across this work include Inflammatory Myopathies and Dermatomyositis (23 papers), Eosinophilic Disorders and Syndromes (10 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (5 papers), Muscle and Compartmental Disorders (4 papers), Muscle Physiology and Disorders (4 papers), Immunodeficiency and Autoimmune Disorders (4 papers), Skin Diseases and Diabetes (4 papers) and Systemic Sclerosis and Related Diseases (3 papers). The work is most often cited by research in Rheumatology (344 citations), Epidemiology (628 citations) and Dermatology (107 citations). K. Mariampillai has collaborated with scholars based in France, Japan and Martinique. Frequent co-authors include Olivier Benvéniste, Yves Allenbach, Lucile Musset, É. Hachulla, Benjamin Granger, Marguerite Guiguet, Damien Amelin, Alain Meyer, Jean‐Luc Charuel and Aline Tohmé.

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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