Subodh Kumar

60 papers receiving 2.5k citations

Peers

Subodh Kumar
Comparison fields: 5 of 113
  • Cancer Research 931
  • Biological Psychiatry 107
  • Physiology 1.0k
  • Neurology 285
  • Aging 41
Replace Surjyadipta Bhattacharjee with:
Surjyadipta Bhattacharjee United States
Jeganathan Ramesh Babu United States
Bin Feng China
Keshen Li China
Monika Pawlik United States
Duan‐Fang Liao China
Kun Zou Japan
Jessica M. Silvaggi United States
Yasuko Kitagishi Japan
Francesc X. Soriano Spain
Subodh Kumar relative to Surjyadipta Bhattacharjee United States Surjyadipta Bhattacharjee's profile →
Citations per field
00.5×
Surjyadipta Bhattacharjee · 1×
Citations per year

Countries citing papers authored by Subodh Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Subodh Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018272
2 2016241
3 2018237
4 2017173
5 2017133
6 2021127
7 2021114
8 2016113
9 2018101
10 201684
11 201978
12 201773
13 202053
14 201853
15 200351
16 201950
17 202146
18 201745
19 201435
20 201735

About Subodh Kumar

Subodh Kumar is a scholar working on Molecular Biology, Physiology, Cancer Research, Genetics and Cellular and Molecular Neuroscience, having authored 68 papers that have together received 2.5k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (23 papers), MicroRNA in disease regulation (23 papers), Circular RNAs in diseases (10 papers), Mitochondrial Function and Pathology (10 papers), Genetic and phenotypic traits in livestock (6 papers), Autophagy in Disease and Therapy (5 papers), Animal Genetics and Reproduction (5 papers) and Cancer-related molecular mechanisms research (4 papers). The work is most often cited by research in Cancer Research (931 citations), Biological Psychiatry (107 citations), Physiology (1.0k citations), Neurology (285 citations) and Aging (41 citations). Subodh Kumar has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include P. Hemachandra Reddy, Murali Vijayan, Arubala P. Reddy, Jasvinder Singh Bhatti, Jangampalli Adi Pradeepkiran, Maria Mańczak, Xiangling Yin, Ramesh Kandimalla, Chandra Sekhar Kuruva and Sahil Tonk. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, Ageing Research Reviews, Progress in molecular biology and translational science, Human Molecular Genetics and Cells.

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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