Madhumitha Ravikumar

664 citations
13 papers · 536 · h-index 11

Impact in

Papers in

Madhumitha Ravikumar

13 papers receiving 534 citations

Peers

Madhumitha Ravikumar
Comparison fields: 5 of 74
  • Hematology 149
  • Critical Care and Intensive Care Medicine 57
  • Cellular and Molecular Neuroscience 233
  • Neurology 93
  • Cognitive Neuroscience 120
Replace Jiliang Zhai with:
Jiliang Zhai China
Aaron M. Dingle United States
Swapnil Mehta United States
Wutian Wu Hong Kong
Matilde Balbi Germany
Zion Zibly Israel
Kyle M. Kovach United States
Mizuya Shinoyama Japan
Barbara Canciani Italy
Estrela Neto Portugal
Madhumitha Ravikumar relative to Jiliang Zhai China Jiliang Zhai's profile →
Citations per field
00.5×6.6×
Jiliang Zhai · 1×
Citations per year

Countries citing papers authored by Madhumitha Ravikumar

Since Specialization
Citations

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

Fields of papers citing papers by Madhumitha Ravikumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 201385
2 201483
3 201159
4 201252
5 201847
6 201247
7 201436
8 201731
9 201331
10 201230
11 202227
12 20247
13
CLARIFYING THE ROLE OF MICROGLIA VERSUS MACROPHAGES IN FACILITATING NEUROINFLAMMATION SURROUNDING INTRACORTICAL MICROELECTRODES
20141

About Madhumitha Ravikumar

Madhumitha Ravikumar is a scholar working on Cellular and Molecular Neuroscience, Neurology, Hematology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 13 papers that have together received 536 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Platelet Disorders and Treatments (3 papers), Blood properties and coagulation (2 papers), Polymer Surface Interaction Studies (2 papers), Vagus Nerve Stimulation Research (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper) and Catalytic Processes in Materials Science (1 paper). The work is most often cited by research in Hematology (149 citations), Critical Care and Intensive Care Medicine (57 citations), Cellular and Molecular Neuroscience (233 citations), Neurology (93 citations) and Cognitive Neuroscience (120 citations). Madhumitha Ravikumar has collaborated with scholars based in United States, India and Vietnam. Frequent co-authors include Timothy L. Wong, Anirban Sen Gupta, Jeffrey R. Capadona, Stephen M. Selkirk, Robert H. Miller, Michael Dzuricky, Christa L. Modery-Pawlowski, Smrithi Sunil, Deborah S. Barkauskas and James Black. Their work appears in journals such as Biomaterials, Bioconjugate Chemistry, Aging and Disease, Biomacromolecules and Journal of Neural Engineering.

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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