Shafeeq Ladha

4.3k citations
31 papers · 667 indexed · h-index 11
Topics
Amyotrophic Lateral Sclerosis Research (9 papers)Peripheral Neuropathies and Disorders (6 papers)Lysosomal Storage Disorders Research (6 papers)

In The Last Decade

Shafeeq Ladha

27 papers receiving 649 citations

Peers

Shafeeq Ladha
Comparison fields: 5 of 68
  • Neurology 487
  • Genetics 221
  • Molecular Biology 132
  • Neurology 75
  • Physiology 67
Replace Dayami Hernandez with:
Dayami Hernandez United States
Casey MM Pfluger Australia
Silvia Bonanno Italy
Jianying Xi China
Takashi Kurashige Japan
Elena Cortés‐Vicente Spain
Dongmei Yang United States
Guoqiang Yang China
Rumiko Izumi Japan
Charlotte Flüh Germany
Shafeeq Ladha relative to Dayami Hernandez United States Dayami Hernandez's profile →
Citations per field
00.5×6.8×
Dayami Hernandez · 1×
Citations per year

Countries citing papers authored by Shafeeq Ladha

Since Specialization
Citations

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

Fields of papers citing papers by Shafeeq Ladha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shafeeq Ladha

This figure shows the co-authorship network connecting the top 25 collaborators of Shafeeq Ladha. A scholar is included among the top collaborators of Shafeeq Ladha 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 Shafeeq Ladha. Shafeeq Ladha 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 9
2 2
3 5
4 31
5 1
6 2
7 1
8 68
9
NEO1 AND NEO-EXT STUDIES: PHARMACODYNAMIC/EXPLORATORY BIOMARKER AND SAFETY ASSESSMENTS FOLLOWING REPEAT AVALGLUCOSIDASE ALFA DOSING FOR UP TO 4.5 YEARS IN PATIENTS WITH LATE-ONSET POMPE DISEASE
1
10 33
11 1
12 198
13 5
14 69
15 7
16 25
17 5
18 19
19 44
20 10

About Shafeeq Ladha

Shafeeq Ladha is a scholar working on Neurology, Genetics and Neurology, having authored 31 papers that have together received 667 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (9 papers), Peripheral Neuropathies and Disorders (6 papers) and Lysosomal Storage Disorders Research (6 papers). The work is most often cited by research in Neurology (487 citations), Genetics (221 citations) and Neurology (75 citations). Shafeeq Ladha has collaborated with scholars based in United States, Belgium and France. Frequent co-authors include Qiang Liu, Fu‐Dong Shi, P. James B. Dyck, Jonathan D. Glass, Samuel Shi, Eric A. Macklin, Merit Cudkowicz, Robert J. Spinner, Kimberly K. Amrami and Rup Tandan. Their work appears in journals such as The Lancet, Nature Communications and The Journal of Immunology.

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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