Mohammad Shahnawaz

4.4k citations
52 papers · 2.8k indexed · 4 hit papers · h-index 23
Topics
Alzheimer's disease research and treatments (12 papers)COVID-19 and Mental Health (9 papers)Parkinson's Disease Mechanisms and Treatments (7 papers)
Partner nations
IndiaUnited StatesChile

In The Last Decade

Mohammad Shahnawaz

50 papers receiving 2.7k citations

Hit Papers

Discriminating α-synuclein strains in Parkinson’s di...20162026201920222020202020162023100200300400500

Peers

Mohammad Shahnawaz
Comparison fields: 5 of 140
  • Neurology 1.2k
  • Physiology 918
  • Molecular Biology 675
  • Clinical Psychology 447
  • Neurology 410
Replace Kelly Jean Thomas Craig with:
Kelly Jean Thomas Craig United States
Thomas Hillemacher Germany
Akshay Anand India
Donna Romano United States
Gillian Einstein Canada
Dominique Maciejewski Netherlands
Manuel J. Rodrı́guez Spain
George D. Mellick Australia
Mark Prendergast United States
Mohammad Shahnawaz relative to Kelly Jean Thomas Craig United States Kelly Jean Thomas Craig's profile →
Citations per field
00.5×8.6×
Kelly Jean Thomas Craig · 1×
Citations per year

Countries citing papers authored by Mohammad Shahnawaz

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Shahnawaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Shahnawaz

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Shahnawaz. A scholar is included among the top collaborators of Mohammad Shahnawaz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mohammad Shahnawaz. Mohammad Shahnawaz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 3
3 7
4 13
5
Seed amplification assay for the detection of pathologic alpha-synuclein aggregates in cerebrospinal fluidbreakdown →
113
6 2
7 35
8 0
9 33
10 4
11 16
12 48
13 29
14 15
15 25
16 173
17 46
18 61
19 41
20 16

About Mohammad Shahnawaz

Mohammad Shahnawaz is a scholar working on Clinical Psychology, Neurology and Modeling and Simulation, having authored 52 papers that have together received 2.8k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (12 papers), COVID-19 and Mental Health (9 papers) and Parkinson's Disease Mechanisms and Treatments (7 papers). The work is most often cited by research in Neurology (1.2k citations), Neurology (410 citations) and Physiology (918 citations). Mohammad Shahnawaz has collaborated with scholars based in India, United States and Chile. Frequent co-authors include Claudio Soto, Usama Rehman, Nicolás Méndez, Neda Haseeb Khan, Natalia Salvadores, Ritika Uniyal, Sandra Pritzkow, Korsi Dorene Kharshiing, Kaveri Gupta and Wolfgang Singer. Their work appears in journals such as Nature, Journal of the American Chemical Society and Journal of Biological Chemistry.

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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