Uma Ladiwala

1.2k citations
25 papers · 1.0k indexed · h-index 18
Topics
Multiple Sclerosis Research Studies (5 papers)Neuroinflammation and Neurodegeneration Mechanisms (4 papers)Neurogenesis and neuroplasticity mechanisms (4 papers)
Partner nations
IndiaCanadaUnited States

In The Last Decade

Uma Ladiwala

25 papers receiving 1.0k citations

Peers

Uma Ladiwala
Comparison fields: 5 of 109
  • Molecular Biology 299
  • Cellular and Molecular Neuroscience 245
  • Developmental Neuroscience 232
  • Pathology and Forensic Medicine 147
  • Neurology 130
Replace Dali Yin with:
Dali Yin United States
Laura Harsan Germany
Ning Huang China
Robert G. Thorne United States
Hirotaka Watanabe Japan
Sébastien A. Lévesque Canada
J. Steibel France
Na Pan China
Ichiro Fujimoto Japan
Edmund Hoppe Germany
Uma Ladiwala relative to Dali Yin United States Dali Yin's profile →
Citations per field
00.5×1.5×1.9×
Dali Yin · 1×
Citations per year

Countries citing papers authored by Uma Ladiwala

Since Specialization
Citations

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

Fields of papers citing papers by Uma Ladiwala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uma Ladiwala

This figure shows the co-authorship network connecting the top 25 collaborators of Uma Ladiwala. A scholar is included among the top collaborators of Uma Ladiwala 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 Uma Ladiwala. Uma Ladiwala 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 2
3 15
4 11
5 18
6 17
7 85
8 78
9 187
10 60
11 62
12 5
13 41
14 21
15 48
16 50
17 49
18 36
19 38
20
Localization and retention of mycobacterial antigen in lymph nodes of leprosy patients.
7

About Uma Ladiwala

Uma Ladiwala is a scholar working on Developmental Neuroscience, Neurology and Biophysics, having authored 25 papers that have together received 1.0k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Neurogenesis and neuroplasticity mechanisms (4 papers). The work is most often cited by research in Developmental Neuroscience (232 citations), Neurology (130 citations) and Cellular and Molecular Neuroscience (245 citations). Uma Ladiwala has collaborated with scholars based in India, Canada and United States. Frequent co-authors include Jack P. Antel, Vidita A. Vaidya, Rama Vaidya, Lynette A. Desouza, Shubhada Agashe, D. Mathur, Asha Bhakar, Philip Barker, Christian Lachance and Arnaud Besson. Their work appears in journals such as Journal of Neuroscience, The Journal of Immunology and PLoS ONE.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026