J. Hani

2.3k citations
8 papers · 545 · h-index 6

Impact in

    • Fungal and yeast genetics research
    • RNA and protein synthesis mechanisms
    • Signaling Pathways in Disease
    • Genomics and Phylogenetic Studies
    • RNA Research and Splicing
    • Microbial Metabolic Engineering and Bioproduction
    • RNA modifications and cancer

Papers in

J. Hani

8 papers receiving 526 citations

Peers

J. Hani
Comparison fields: 5 of 65
  • Molecular Biology 474
  • Cell Biology 52
  • Plant Science 114
  • Immunology 46
  • Oncology 48
Replace Tomoko Oguchi with:
Tomoko Oguchi Japan
M I Riley United States
Joerg Seidler Germany
Judith X. Zhu-Shimoni Israel
O. Akhayat France
Naveed Mohammad Canada
Kirstie Saltsman United States
Renata Usaite Denmark
Ilse B. Barthelmess Germany
Luis Mariano Polo Argentina
J. Hani relative to Tomoko Oguchi Japan Tomoko Oguchi's profile →
Citations per field
00.5×2×2.6×
Tomoko Oguchi · 1×
Citations per year

Countries citing papers authored by J. Hani

Since Specialization
Citations

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

Fields of papers citing papers by J. Hani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside J. Hani, 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 J. Hani Line = papers co-authored together J. Hani links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 1997190
2 1998117
3 2003102
4 199590
5
Integrative analysis of protein interaction data.
200031
6 199710
7 20114
8 20241

About J. Hani

J. Hani is a scholar working on Molecular Biology, Management Information Systems, Ecology, Oncology and Artificial Intelligence, having authored 8 papers that have together received 545 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (3 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Imbalanced Data Classification Techniques (1 paper), Big Data and Business Intelligence (1 paper), Galectins and Cancer Biology (1 paper), Gene expression and cancer classification (1 paper), Vehicle License Plate Recognition (1 paper) and Plant responses to elevated CO2 (1 paper). The work is most often cited by research in Molecular Biology (474 citations), Cell Biology (52 citations), Plant Science (114 citations), Immunology (46 citations) and Oncology (48 citations). J. Hani has collaborated with scholars based in Germany, Jordan and Egypt. Frequent co-authors include Kaj Albermann, H Domdey, Hans‐Werner Mewes, A. Zollner, Stephen G. Oliver, Dmitrij Frishman, K. G. Heumann, K. Kleine, Friedhelm Pfeiffer and Katharina Piontek. Their work appears in journals such as Nature, Canadian Journal of Forest Research, FEMS Yeast Research, Nucleic Acids Research and FEBS Letters.

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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