Ilango Balakrishnan

914 citations
30 papers · 572 · h-index 12

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
    • Mesenchymal stem cell research
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Protein Degradation and Inhibitors 7
    • Chromatin Remodeling and Cancer 6
    • Genomics and Chromatin Dynamics 4
    • DNA Repair Mechanisms 3
    • Glioma Diagnosis and Treatment 5

Ilango Balakrishnan

26 papers receiving 565 citations

Peers

Ilango Balakrishnan
Comparison fields: 5 of 63
  • Genetics 170
  • Cancer Research 186
  • Molecular Biology 442
  • Hematology 48
  • Oncology 104
Replace Patricia Rakopoulos with:
Patricia Rakopoulos Canada
Małgorzata Szybka Poland
Daniel Trageser United States
Hannah Cheung United States
Lingge Lu Sweden
J R Dunn United Kingdom
Andrea Wittmann Germany
Shenghao Jin United States
Ondřej Kalita Czechia
Nahir Cortes‐Santiago United States
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Citations per field
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Citations per year

Countries citing papers authored by Ilango Balakrishnan

Since Specialization
Citations

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

Fields of papers citing papers by Ilango Balakrishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201294
2 201488
3 201366
4 201457
5 201050
6 201240
7 201633
8 202029
9 202123
10 201721
11 201714
12 201614
13 202010
14 19877
15 20227
16 20245
17 20163
18 20022
19 19902
20 20251

About Ilango Balakrishnan

Ilango Balakrishnan is a scholar working on Molecular Biology, Genetics, Oncology, Cancer Research and Cell Biology, having authored 30 papers that have together received 572 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (7 papers), Chromatin Remodeling and Cancer (6 papers), Glioma Diagnosis and Treatment (5 papers), Genomics and Chromatin Dynamics (4 papers), MicroRNA in disease regulation (3 papers), CAR-T cell therapy research (3 papers), Microtubule and mitosis dynamics (3 papers) and DNA Repair Mechanisms (3 papers). The work is most often cited by research in Genetics (170 citations), Cancer Research (186 citations), Molecular Biology (442 citations), Hematology (48 citations) and Oncology (104 citations). Ilango Balakrishnan has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Sujatha Venkataraman, Rajeev Vibhakar, Nicholas K. Foreman, Beverly Torok‐Storb, Manoj M. Pillai, Irina Alimova, Diane K. Birks, Peter S. Harris, Michael D. Taylor and Michael H. Handler. Their work appears in journals such as Neuro-Oncology, Oncotarget, Blood, Molecular Cancer Research and Stem 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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