Ujval Anilkumar

546 citations
12 papers · 377 · h-index 10

Impact in

    • Analytical Chemistry and Sensors
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

Ujval Anilkumar

12 papers receiving 371 citations

Peers

Ujval Anilkumar
Comparison fields: 5 of 79
  • Bioengineering 39
  • Neurology 35
  • Cellular and Molecular Neuroscience 65
  • Cancer Research 40
  • Molecular Biology 185
Replace Sergio Perez‐Alvarez with:
Sergio Perez‐Alvarez Spain
Л. Р. Горбачева Russia
Sanja Ramljak Germany
Sihem Aouabdi Saudi Arabia
Yuanjun Zhu China
王德年 China
Eleonora Vandini Italy
Jingru Qian Singapore
Liangmiao Wu China
Samson Jamesdaniel United States
Ujval Anilkumar relative to Sergio Perez‐Alvarez Spain Sergio Perez‐Alvarez's profile →
Citations per field
00.5×2×3×4.3×
Sergio Perez‐Alvarez · 1×
Citations per year

Countries citing papers authored by Ujval Anilkumar

Since Specialization
Citations

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

Fields of papers citing papers by Ujval Anilkumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 201481
2 201456
3 201454
4 201237
5 201731
6 202028
7 201227
8 201323
9 202020
10 201413
11 20176
12 20141

About Ujval Anilkumar

Ujval Anilkumar is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Bioengineering, Neurology and Developmental Neuroscience, having authored 12 papers that have together received 377 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Adipose Tissue and Metabolism (2 papers), Cell death mechanisms and regulation (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), ATP Synthase and ATPases Research (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and Analytical Chemistry and Sensors (2 papers). The work is most often cited by research in Bioengineering (39 citations), Neurology (35 citations), Cellular and Molecular Neuroscience (65 citations), Cancer Research (40 citations) and Molecular Biology (185 citations). Ujval Anilkumar has collaborated with scholars based in Ireland, Austria and Canada. Frequent co-authors include Jochen H.M. Prehn, Heinrich J. Huber, Petronela Weisova, PhD, Heiko Düßmann, Niamh M. C. Connolly, Dmitri B. Papkovsky, Caoimhín G. Concannon, Sergey M. Borisov, Kieran W.G. McDermott and Ruslan I. Dmitriev. Their work appears in journals such as Cell Death and Disease, Biochimica et Biophysica Acta (BBA) - Bioenergetics, Journal of Neurochemistry, Frontiers in Cellular Neuroscience and Cellular and Molecular Life Sciences.

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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