Johan Lim

620 citations
34 papers · 444 · h-index 13

Impact in

Papers in

    • Inflammatory Myopathies and Dermatomyositis 15
    • Statistical Methods and Inference 4
    • Statistical Methods and Bayesian Inference 3
    • Statistical Distribution Estimation and Applications 2

Johan Lim

29 papers receiving 428 citations

Peers

Johan Lim
Comparison fields: 5 of 75
  • Epidemiology 273
  • Dermatology 40
  • Rheumatology 53
  • Gastroenterology 18
  • Immunology 64
Replace Zohreh Jadali with:
Zohreh Jadali Iran
Eric J. Boren United States
W Stolz Germany
Ai Kuzumi Japan
Y Liu China
Hisakazu Shiroeda Japan
Ali Amouri Tunisia
Dan Keret Israel
Takashi Saito Japan
Kelsey S. Flood United States
Johan Lim relative to Zohreh Jadali Iran Zohreh Jadali's profile →
Citations per field
00.5×2×3×4×4.9×
Zohreh Jadali · 1×
Citations per year

Countries citing papers authored by Johan Lim

Since Specialization
Citations

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

Fields of papers citing papers by Johan Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201971
2 201862
3 201940
4 202035
5 202132
6 202029
7 200920
8 201918
9 200317
10 202217
11
Noninvasive imaging of the superficial femoral artery using ultrasound Duplex scanning.
199015
12 202214
13 202114
14
Mitoxantrone and cytosine arabinoside as treatment for acute myelogenous leukemia (AML) at first recurrence.
199311
15 20248
16 20076
17 20236
18 20225
19 20194
20 20084

About Johan Lim

Johan Lim is a scholar working on Epidemiology, Statistics and Probability, Rheumatology, Gastroenterology and Dermatology, having authored 34 papers that have together received 444 indexed citations. Recurring topics across this work include Inflammatory Myopathies and Dermatomyositis (15 papers), Statistical Methods and Inference (4 papers), Eosinophilic Disorders and Syndromes (4 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Statistical Methods and Bayesian Inference (3 papers), Systemic Sclerosis and Related Diseases (2 papers), Statistical Distribution Estimation and Applications (2 papers) and Celiac Disease Research and Management (2 papers). The work is most often cited by research in Epidemiology (273 citations), Dermatology (40 citations), Rheumatology (53 citations), Gastroenterology (18 citations) and Immunology (64 citations). Johan Lim has collaborated with scholars based in Netherlands, South Korea and United States. Frequent co-authors include Anneke J. van der Kooi, Christiaan G. J. Saris, Anke Rietveld, Joost Raaphorst, Woncheol Jang, Jan De Bleecker, Umesh A. Badrising, Filip Eftimov, Rob J. de Haan and Eleonora Aronica. Their work appears in journals such as Lara D. Veeken, European Journal of Neurology, Journal of the American Academy of Dermatology, Frontiers in Nutrition and Computational Statistics & Data Analysis.

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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