Måns Thulin

1.1k citations
43 papers · 852 · h-index 13

Impact in

Papers in

    • Statistical Methods and Bayesian Inference 6
    • Advanced Statistical Methods and Models 5
    • Statistical Distribution Estimation and Applications 5
    • Statistical Methods in Clinical Trials 3
    • Statistical Methods and Inference 3
    • Multiple Sclerosis Research Studies 3

Måns Thulin

41 papers receiving 841 citations

Peers

Måns Thulin
Comparison fields: 5 of 143
  • Biological Psychiatry 26
  • Statistics and Probability 83
  • Cancer Research 119
  • Oral Surgery 28
  • Molecular Biology 280
Replace Jeffrey C. Miecznikowski with:
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Måns Thulin relative to Jeffrey C. Miecznikowski United States Jeffrey C. Miecznikowski's profile →
Citations per field
00.5×2×4×6×8.7×
Jeffrey C. Miecznikowski · 1×
Citations per year

Countries citing papers authored by Måns Thulin

Since Specialization
Citations

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

Fields of papers citing papers by Måns Thulin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019232
2 201791
3 201570
4 201345
5 201440
6 201638
7 201936
8 202236
9 201533
10 201927
11 201725
12 201316
13 201314
14 201712
15 201610
16 201910
17 202110
18 20179
19 20138
20 20228

About Måns Thulin

Måns Thulin is a scholar working on Statistics and Probability, Pathology and Forensic Medicine, Rheumatology, Neurology and Radiological and Ultrasound Technology, having authored 43 papers that have together received 852 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (6 papers), Advanced Statistical Methods and Models (5 papers), Statistical Distribution Estimation and Applications (5 papers), Pain Mechanisms and Treatments (3 papers), Peripheral Neuropathies and Disorders (3 papers), Multiple Sclerosis Research Studies (3 papers), Statistical Methods in Clinical Trials (3 papers) and Statistical Methods and Inference (3 papers). The work is most often cited by research in Biological Psychiatry (26 citations), Statistics and Probability (83 citations), Cancer Research (119 citations), Oral Surgery (28 citations) and Molecular Biology (280 citations). Måns Thulin has collaborated with scholars based in Sweden, United Kingdom and Australia. Frequent co-authors include Torsten Gordh, Masood Kamali‐Moghaddam, Anne‐Li Lind, Anders Olof Larsson, Qiujin Shen, Lena M. S. Carlsson, Björn U. C. Gerdle, Mats F. Nilsson, Yanling Cai and Di Wu. Their work appears in journals such as Cytokine, Journal of Dentistry, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Upsala Journal of Medical Sciences and Journal of Interferon & Cytokine Research.

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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