Benjamin Soibam

1.5k citations
35 papers · 867 · h-index 15

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • RNA Research and Splicing
    • Congenital heart defects research

Papers in

    • RNA Research and Splicing 10
    • RNA modifications and cancer 5
    • Congenital heart defects research 5
    • Genomics and Chromatin Dynamics 3
    • Circular RNAs in diseases 3
    • Cancer-related molecular mechanisms research 12
    • MicroRNA in disease regulation 9

Benjamin Soibam

34 papers receiving 858 citations

Peers

Benjamin Soibam
Comparison fields: 5 of 95
  • Cancer Research 391
  • Molecular Biology 562
  • Immunology 139
  • Aging 8
  • Cellular and Molecular Neuroscience 56
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Seungjae Lee United States
Fabienne Archer France
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Maiko Inagaki Japan
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Yujing Yang China
Jean‐Guy Fournier France
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Citations per field
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Citations per year

Countries citing papers authored by Benjamin Soibam

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Soibam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010200
2 201288
3 201765
4 201663
5 201853
6 201250
7 201632
8 201828
9 201125
10 201524
11 201623
12 201822
13 201318
14 201817
15 202114
16 201614
17 202113
18 201812
19 201711
20 201411

About Benjamin Soibam

Benjamin Soibam is a scholar working on Molecular Biology, Cancer Research, Genetics, Ecology, Evolution, Behavior and Systematics and Surgery, having authored 35 papers that have together received 867 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (12 papers), RNA Research and Splicing (10 papers), MicroRNA in disease regulation (9 papers), RNA modifications and cancer (5 papers), Congenital heart defects research (5 papers), Genomics and Chromatin Dynamics (3 papers), Circular RNAs in diseases (3 papers) and Animal Behavior and Reproduction (3 papers). The work is most often cited by research in Cancer Research (391 citations), Molecular Biology (562 citations), Immunology (139 citations), Aging (8 citations) and Cellular and Molecular Neuroscience (56 citations). Benjamin Soibam has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Ashley Benham, Preethi H. Gunaratne, Yu Liu, Cristian Coarfa, Robert J. Schwartz, Jong Kim, Rui Liang, Gemunu H. Gunaratne, David B. Corry and John Knight. Their work appears in journals such as BMC Genomics, PLoS ONE, Disease Models & Mechanisms, Developmental Biology and Journal of Biological Chemistry.

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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