Anne‐Li Lind

1.3k citations
15 papers · 1.1k · h-index 10

Impact in

Papers in

    • Pain Mechanisms and Treatments 10
    • Peripheral Neuropathies and Disorders 2
    • Botulinum Toxin and Related Neurological Disorders 2
    • Amyotrophic Lateral Sclerosis Research 1

Anne‐Li Lind

15 papers receiving 1.1k citations

Peers

Anne‐Li Lind
Comparison fields: 5 of 89
  • Physiology 547
  • Biological Psychiatry 34
  • Neurology 113
  • Cellular and Molecular Neuroscience 244
  • Psychiatry and Mental health 176
Replace Megumi Matsuda with:
Megumi Matsuda Japan
Magdalena Żychowska Poland
Yohji Fukazawa Japan
Amelia A. Staniland United Kingdom
Nicole N. Scheff United States
Xiaoping Gu China
Délia Szok Hungary
Marı́a Florencia Coronel Argentina
Anne‐Li Lind relative to Megumi Matsuda Japan Megumi Matsuda's profile →
Citations per field
00.5×4.0×
Megumi Matsuda · 1×
Citations per year

Countries citing papers authored by Anne‐Li Lind

Since Specialization
Citations

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

Fields of papers citing papers by Anne‐Li Lind

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anne‐Li Lind. 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 Anne‐Li Lind. The network helps show where Anne‐Li Lind may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2009499
2 2017182
3 201785
4 201566
5 201655
6 201636
7 201135
8 201531
9 201628
10 201620
11 20199
12 20225
13 20135
14 20091
15 20131

About Anne‐Li Lind

Anne‐Li Lind is a scholar working on Physiology, Neurology, Anesthesiology and Pain Medicine, Molecular Biology and Pharmacology, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (10 papers), Pain Management and Treatment (2 papers), Peripheral Neuropathies and Disorders (2 papers), Botulinum Toxin and Related Neurological Disorders (2 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (2 papers), Musculoskeletal pain and rehabilitation (2 papers), Amyotrophic Lateral Sclerosis Research (1 paper) and Opioid Use Disorder Treatment (1 paper). The work is most often cited by research in Physiology (547 citations), Biological Psychiatry (34 citations), Neurology (113 citations), Cellular and Molecular Neuroscience (244 citations) and Psychiatry and Mental health (176 citations). Anne‐Li Lind has collaborated with scholars based in Sweden, Norway and South Korea. Frequent co-authors include Torsten Gordh, Anders Larsson, Emmanuel Bäckryd, Zhen‐Zhong Xu, Omar Abdel Samad, Ling Zhang, Qiufu Ma, Ru‐Rong Ji, Jong Yeon Park and Yasuhiko Kawasaki. Their work appears in journals such as Journal of Pain Research, Cytokine, Pain, Journal of Trace Elements in Medicine and Biology and Journal of Neuroscience.

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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