Ichcha Manipur

858 total citations · 1 hit paper
16 papers, 406 citations indexed

About

Ichcha Manipur is a scholar working on Molecular Biology, Artificial Intelligence and Cancer Research. According to data from OpenAlex, Ichcha Manipur has authored 16 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 3 papers in Artificial Intelligence and 3 papers in Cancer Research. Recurrent topics in Ichcha Manipur's work include Bioinformatics and Genomic Networks (7 papers), Microbial Metabolic Engineering and Bioproduction (4 papers) and Single-cell and spatial transcriptomics (2 papers). Ichcha Manipur is often cited by papers focused on Bioinformatics and Genomic Networks (7 papers), Microbial Metabolic Engineering and Bioproduction (4 papers) and Single-cell and spatial transcriptomics (2 papers). Ichcha Manipur collaborates with scholars based in Italy, United Kingdom and United States. Ichcha Manipur's co-authors include Eric A. W. Slob, Stephen Burgess, Chris Wallace, Verena Zuber, Ashish Patel, Nastasiya F. Grinberg, Dipender Gill, Mario Rosario Guarracino, Lucia Maddalena and Ilaria Granata and has published in prestigious journals such as Nature Communications, Development and International Journal of Molecular Sciences.

In The Last Decade

Ichcha Manipur

16 papers receiving 404 citations

Hit Papers

Combining evidence from Mendelian randomization and coloc... 2022 2026 2023 2024 2022 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Combining evidence from Mendelian randomization and colocalization: Review and comparison of approaches
    2022 245 citations Verena Zuber, Nastasiya F. Grinberg et al. The American Journal of Human Genetics profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ichcha Manipur Italy 8 206 125 71 43 37 16 406
Abu Z M Dayem Ullah United Kingdom 9 254 1.2× 170 1.4× 93 1.3× 41 1.0× 17 0.5× 22 522
Manu Shivakumar United States 12 206 1.0× 74 0.6× 93 1.3× 51 1.2× 29 0.8× 49 478
Eskandar Taghizadeh Iran 14 230 1.1× 54 0.4× 85 1.2× 80 1.9× 28 0.8× 35 492
Shaza B. Zaghlool Qatar 11 338 1.6× 148 1.2× 67 0.9× 26 0.6× 22 0.6× 21 542
Snehal Patil United States 10 310 1.5× 104 0.8× 51 0.7× 20 0.5× 13 0.4× 23 518
Ornella Affinito Italy 14 290 1.4× 59 0.5× 65 0.9× 32 0.7× 13 0.4× 31 437
Nadia M. Penrod United States 9 323 1.6× 203 1.6× 51 0.7× 16 0.4× 24 0.6× 15 597
Haiyang Wang China 15 198 1.0× 49 0.4× 96 1.4× 44 1.0× 17 0.5× 33 456
Tim Beck United Kingdom 15 528 2.6× 282 2.3× 120 1.7× 31 0.7× 72 1.9× 30 776

Countries citing papers authored by Ichcha Manipur

Since Specialization
Citations

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

Fields of papers citing papers by Ichcha Manipur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ichcha Manipur

This figure shows the co-authorship network connecting the top 25 collaborators of Ichcha Manipur. A scholar is included among the top collaborators of Ichcha Manipur based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ichcha Manipur. Ichcha Manipur is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Manipur, Ichcha, Clare Pacini, Fiona M. Behan, et al.. (2024). Benchmark Software and Data for Evaluating CRISPR-Cas9 Experimental Pipelines Through the Assessment of a Calibration Screen. The CRISPR Journal. 7(6). 355–365. 1 indexed citations
2.
Manipur, Ichcha, Jae Hoon Sul, Myung K. Shin, et al.. (2024). CoPheScan: phenome-wide association studies accounting for linkage disequilibrium. Nature Communications. 15(1). 5862–5862. 2 indexed citations
3.
Manipur, Ichcha, et al.. (2023). Representing ensembles of networks for fuzzy cluster analysis: a case study. Data Mining and Knowledge Discovery. 38(2). 725–747. 1 indexed citations
4.
Souilhol, Céline, Ilaria Granata, Filip J. Wymeersch, et al.. (2022). Early anteroposterior regionalisation of human neural crest is shaped by a pro-mesodermal factor. eLife. 11. 5 indexed citations
5.
Zuber, Verena, Nastasiya F. Grinberg, Dipender Gill, et al.. (2022). Combining evidence from Mendelian randomization and colocalization: Review and comparison of approaches. The American Journal of Human Genetics. 109(5). 767–782. 245 indexed citations breakdown →
6.
Granata, Ilaria, Ichcha Manipur, Maurizio Giordano, Lucia Maddalena, & Mario Rosario Guarracino. (2022). TumorMet: A repository of tumor metabolic networks derived from context-specific Genome-Scale Metabolic Models. Scientific Data. 9(1). 607–607. 2 indexed citations
7.
Manipur, Ichcha, Ilaria Granata, Peter W. Andrews, et al.. (2021). Defining the signalling determinants of a posterior ventral spinal cord identity in human neuromesodermal progenitor derivatives. Development. 148(6). 15 indexed citations
8.
Manipur, Ichcha, et al.. (2021). Community Detection in Protein-Protein Interaction Networks and Applications. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 20(1). 217–237. 28 indexed citations
9.
Manipur, Ichcha, Mario Manzo, Ilaria Granata, et al.. (2021). Netpro2vec: A Graph Embedding Framework for Biomedical Applications. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 19(2). 729–740. 16 indexed citations
10.
Gokulnath, Priyanka, Tiziana de Cristofaro, Ichcha Manipur, et al.. (2020). Long Non-Coding RNA HAND2-AS1 Acts as a Tumor Suppressor in High-Grade Serous Ovarian Carcinoma. International Journal of Molecular Sciences. 21(11). 4059–4059. 25 indexed citations
11.
Manipur, Ichcha, Ilaria Granata, Lucia Maddalena, & Mario Rosario Guarracino. (2020). Clustering analysis of tumor metabolic networks. BMC Bioinformatics. 21(S10). 349–349. 7 indexed citations
12.
Maddalena, Lucia, Ilaria Granata, Ichcha Manipur, Mario Manzo, & Mario Rosario Guarracino. (2020). Glioma Grade Classification via Omics Imaging. 7 indexed citations
13.
Gokulnath, Priyanka, Tiziana de Cristofaro, Ichcha Manipur, et al.. (2019). Long Non-Coding RNA MAGI2-AS3 is a New Player with a Tumor Suppressive Role in High Grade Serous Ovarian Carcinoma. Cancers. 11(12). 2008–2008. 34 indexed citations
14.
Manipur, Ichcha, Ilaria Granata, & Mario Rosario Guarracino. (2019). Exploiting single-cell RNA sequencing data to link alternative splicing and cancer heterogeneity: A computational approach. The International Journal of Biochemistry & Cell Biology. 108. 51–60. 7 indexed citations
15.
Granata, Ilaria, Mario Rosario Guarracino, Valery A. Kalyagin, et al.. (2019). Model simplification for supervised classification of metabolic networks. Annals of Mathematics and Artificial Intelligence. 88(1-3). 91–104. 5 indexed citations
16.
Granata, Ilaria, Mario Rosario Guarracino, Valery A. Kalyagin, et al.. (2018). Supervised Classification of Metabolic Networks. 2688–2693. 6 indexed citations

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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