Pushkar Malakar

1.1k citations
26 papers · 793 · h-index 10

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Cancer, Hypoxia, and Metabolism
    • RNA modifications and cancer
    • RNA Research and Splicing
    • Circular RNAs in diseases
    • Microbial Metabolic Engineering and Bioproduction
    • RNA and protein synthesis mechanisms

Papers in

    • Microbial Metabolic Engineering and Bioproduction 7
    • RNA modifications and cancer 7
    • RNA Research and Splicing 6
    • Gene Regulatory Network Analysis 4
    • Cancer-related molecular mechanisms research 6
    • Cancer, Hypoxia, and Metabolism 3

Pushkar Malakar

24 papers receiving 786 citations

Peers

Pushkar Malakar
Comparison fields: 5 of 83
  • Cancer Research 488
  • Molecular Biology 673
  • Applied Microbiology and Biotechnology 5
  • Biotechnology 16
  • Endocrinology 8
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Shiyun Cui China
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Citations per field
00.5×7.9×
Junrong Wang · 1×
Citations per year

Countries citing papers authored by Pushkar Malakar

Since Specialization
Citations

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

Fields of papers citing papers by Pushkar Malakar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016259
2 2019140
3 2016134
4 201174
5 201658
6 202221
7 202412
8 201312
9 201010
10 202310
11 20249
12 20148
13 20238
14 20247
15 20236
16 20225
17 20134
18 20144
19 20153
20 20243

About Pushkar Malakar

Pushkar Malakar is a scholar working on Molecular Biology, Cancer Research, Genetics, Surgery and Infectious Diseases, having authored 26 papers that have together received 793 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (7 papers), RNA modifications and cancer (7 papers), RNA Research and Splicing (6 papers), Cancer-related molecular mechanisms research (6 papers), Gene Regulatory Network Analysis (4 papers), Pancreatic function and diabetes (3 papers), Bacterial Genetics and Biotechnology (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Cancer Research (488 citations), Molecular Biology (673 citations), Applied Microbiology and Biotechnology (5 citations), Biotechnology (16 citations) and Endocrinology (8 citations). Pushkar Malakar has collaborated with scholars based in India, United States and Israel. Frequent co-authors include Rotem Karni, K. V. Venkatesh, Eli Pikarsky, Ilan Stein, Kannanganattu V. Prasanth, Xinying Zong, Sharona Elgavish, Asaf Shilo, Hadar Benyamini and Yuval Nevo. Their work appears in journals such as Scientific Reports, Cell Cycle, Archives of Microbiology, Cancer Research and SpringerPlus.

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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