Ivana Frech

486 total citations
12 papers, 296 citations indexed

About

Ivana Frech is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Ivana Frech has authored 12 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Hematology and 5 papers in Oncology. Recurrent topics in Ivana Frech's work include Multiple Myeloma Research and Treatments (10 papers), Ubiquitin and proteasome pathways (5 papers) and Protein Degradation and Inhibitors (4 papers). Ivana Frech is often cited by papers focused on Multiple Myeloma Research and Treatments (10 papers), Ubiquitin and proteasome pathways (5 papers) and Protein Degradation and Inhibitors (4 papers). Ivana Frech collaborates with scholars based in United States and China. Ivana Frech's co-authors include Fenghuang Zhan, Guido Tricot, Zhimin Gu, Jiliang Xia, Hongwei Xu, Yogesh Jethava, Mu Hao, Xin Zhan, Hasem Habelhah and Hua Bai and has published in prestigious journals such as Journal of Clinical Investigation, Blood and Journal of Hematology & Oncology.

In The Last Decade

Ivana Frech

11 papers receiving 295 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ivana Frech United States	5	233	79	70	67	39	12	296
Jae Hoo Park South Korea	9	145 0.6×	61 0.8×	30 0.4×	81 1.2×	21 0.5×	20	286
Aaron M. Domina United States	6	353 1.5×	54 0.7×	51 0.7×	143 2.1×	45 1.2×	9	429
Irina Mantovani Italy	8	291 1.2×	74 0.9×	38 0.5×	98 1.5×	30 0.8×	10	381
Joanna Barankiewicz Poland	7	143 0.6×	31 0.4×	22 0.3×	41 0.6×	18 0.5×	20	258
Paloma Silva de Souza Brazil	12	194 0.8×	104 1.3×	63 0.9×	114 1.7×	23 0.6×	15	333
Debra C. Ferguson United States	8	239 1.0×	22 0.3×	16 0.2×	94 1.4×	20 0.5×	14	341
Md Maksudul Alam United States	8	211 0.9×	13 0.2×	119 1.7×	41 0.6×	31 0.8×	14	293
Stephanie Nguyen Australia	7	106 0.5×	44 0.6×	38 0.5×	78 1.2×	31 0.8×	17	312
Johannes Schmoellerl Austria	6	226 1.0×	63 0.8×	83 1.2×	96 1.4×	42 1.1×	11	354
Claudie Bosc France	4	163 0.7×	71 0.9×	102 1.5×	39 0.6×	7 0.2×	7	262

Countries citing papers authored by Ivana Frech

Since Specialization

Citations

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

Fields of papers citing papers by Ivana Frech

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivana Frech

This figure shows the co-authorship network connecting the top 25 collaborators of Ivana Frech. A scholar is included among the top collaborators of Ivana Frech 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 Ivana Frech. Ivana Frech is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

Li, Can, Jiliang Xia, Fangping Chen, et al.. (2021). TRIP13 modulates protein deubiquitination and accelerates tumor development and progression of B cell malignancies. Journal of Clinical Investigation. 131(14). 28 indexed citations

Tan, Xuelian, Cody Ashby, Yuqi Zhu, et al.. (2020). Iron Trafficking through Macrophages Regulates Signaling Pathways in Myeloma. Blood. 136(Supplement 1). 2–2. 1 indexed citations

Li, Can, Xuelian Tan, Yogesh Jethava, et al.. (2019). Altered Iron Metabolism Is a New Targetable Hallmark for Multiple Myeloma. Blood. 134(Supplement_1). 3059–3059. 2 indexed citations

Zhu, Yuqi, Ye Yang, Yogesh Jethava, et al.. (2019). Targeting NEK2 Induces Cellular Senescence in B-Cell Malignancies through p53-Independent Signaling Pathways. Blood. 134(Supplement_1). 3102–3102. 2 indexed citations

Li, Can, Yogesh Jethava, Ivana Frech, & Fenghuang Zhan. (2019). Development of an Easily Accessible Patient-Derived Xenograft (PDX) Mouse Model in Multiple Myeloma. Blood. 134(Supplement_1). 5538–5538.

Hao, Mu, Hua Bai, Zhimin Gu, et al.. (2018). Destabilizing NEK2 overcomes resistance to proteasome inhibition in multiple myeloma. Journal of Clinical Investigation. 128(7). 2877–2893. 70 indexed citations

Hao, Mu, Hao Xu, John D. Shaughnessy, et al.. (2017). NEK2 induces osteoclast differentiation and bone destruction via heparanase in multiple myeloma. PMC. 1 indexed citations

Hao, Mu, Hua Bai, Zhimin Gu, et al.. (2017). The Interaction of NEK2 with USP7 Causes Resistance to Proteasome Inhibitor in Multiple Myeloma. Blood. 130. 593–593. 1 indexed citations

Xia, Jiliang, Xiaoyan Zhang, Chantal Allamargot, et al.. (2017). Multiple Myeloma Tumor Cells are Selectively Killed by Pharmacologically-dosed Ascorbic Acid. EBioMedicine. 18. 41–49. 40 indexed citations

10.

Gu, Zhimin, Jiliang Xia, Hongwei Xu, et al.. (2017). NEK2 Promotes Aerobic Glycolysis in Multiple Myeloma Through Regulating Splicing of Pyruvate Kinase. Journal of Hematology & Oncology. 10(1). 17–17. 114 indexed citations

11.

Yu, Wenjie, Melissa L. Bates, Kalyan Nadiminti, et al.. (2017). Alteration of mitochondrial biogenesis promotes disease progression in multiple myeloma. Oncotarget. 8(67). 111213–111224. 36 indexed citations

12.

Xu, Hongwei, et al.. (2016). Nek2 Stabilization By Usp7 Leads to Activation of NF-Kb in Multiple Myeloma. Blood. 128(22). 4418–4418. 1 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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