Muhammad Alim

602 citations
12 papers · 461 · h-index 6

Impact in

  • Neurology top 5%
    • Parkinson's Disease Mechanisms and Treatments
    • Neurological disorders and treatments
    • Neurological diseases and metabolism
    • Nerve injury and regeneration
    • Genetic Neurodegenerative Diseases

Papers in

Muhammad Alim

9 papers receiving 437 citations

Peers

Muhammad Alim
Comparison fields: 5 of 66
  • Neurology 252
  • Cellular and Molecular Neuroscience 121
  • Physiology 144
  • Neurology 45
  • Aging 8
Replace April Dukes with:
April Dukes United States
Shubhik DebBurman United States
Laura Navarria Italy
Oi Wan Wan Hong Kong
Bilal Khalil United States
Yidan Shi China
Tuuli-Maria Sonninen Finland
David S. Miller United States
A Arosio Italy
Maria‐Letizia Campanari France
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Citations per field
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Citations per year

Countries citing papers authored by Muhammad Alim

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Alim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Muhammad Alim, 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 Muhammad Alim Line = papers co-authored together Muhammad Alim links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2004170
2 2002165
3
Pendidikan Agama Islam. upaya pembentukan pemikiran dan kepribadian muslim
200674
4 201819
5 201013
6
Asas-Asas Negara Hukum Modern dalam Islam : Kajian Komprehensif Islam dan Ketatanegaraan
201012
7
ASAS-ASAS HUKUM MODERN DALAM HUKUM ISLAM
20154
8 19932
9
OPTIMALISASI KINERJA UNIT PELAKSANA TINGKAT DAERAH BALAI LATIHAN KERJA DINAS TENAGA KERJA DAN TRANSMIGRASI KABUPATEN MAJENE
20191
10 20211
11 20220
12 20220

About Muhammad Alim

Muhammad Alim is a scholar working on Sociology and Political Science, Law, Physiology, Surgery and Neurology, having authored 12 papers that have together received 461 indexed citations. Recurring topics across this work include Legal Studies and Policies (3 papers), Alzheimer's disease research and treatments (2 papers), Marriage and Family Dynamics (2 papers), Islamic Finance and Communication (2 papers), Education and Character Development (2 papers), Pancasila Values in Education (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers) and Advanced Malware Detection Techniques (1 paper). The work is most often cited by research in Neurology (252 citations), Cellular and Molecular Neuroscience (121 citations), Physiology (144 citations), Neurology (45 citations) and Aging (8 citations). Muhammad Alim has collaborated with scholars based in Indonesia, Japan and Pakistan. Frequent co-authors include Kazuya Takeda, Kenji Uéda, Minako Nakamura, Shin‐ichi Hisanaga, Kunimasa Arima, Yoko Izumiyama, Hiroyuki Kaji, Tomotaka Shinoda, Taro Saito and Akiko Asada. Their work appears in journals such as Journal of Alzheimer s Disease, Journal of Biological Chemistry, Hospital Practice, DOAJ (DOAJ: Directory of Open Access Journals) and JURNAL HUKUM IUS QUIA IUSTUM.

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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