Mitra Barzine

748 total citations
4 papers, 100 citations indexed

About

Mitra Barzine is a scholar working on Molecular Biology, Spectroscopy and Cancer Research. According to data from OpenAlex, Mitra Barzine has authored 4 papers receiving a total of 100 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Spectroscopy and 1 paper in Cancer Research. Recurrent topics in Mitra Barzine's work include Advanced Proteomics Techniques and Applications (3 papers), Genomics and Phylogenetic Studies (2 papers) and Machine Learning in Bioinformatics (1 paper). Mitra Barzine is often cited by papers focused on Advanced Proteomics Techniques and Applications (3 papers), Genomics and Phylogenetic Studies (2 papers) and Machine Learning in Bioinformatics (1 paper). Mitra Barzine collaborates with scholars based in United Kingdom, Norway and Latvia. Mitra Barzine's co-authors include Alvis Brāzma, Jyoti S. Choudhary, Jonathan M. Mudge, Jennifer Harrow, José M. González, Hendrik Weisser, James C. Wright, Juan Antonio Vizcaíno, Andrew F. Jarnuczak and Fatemeh Zamanzad Ghavidel and has published in prestigious journals such as Nature Communications, Scientific Reports and PROTEOMICS.

In The Last Decade

Mitra Barzine

3 papers receiving 100 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mitra Barzine United Kingdom	3	86	39	18	5	5	4	100
Jacobo Miranda Ackerman Germany	4	91 1.1×	47 1.2×	24 1.3×	3 0.6×	2 0.4×	5	114
Mengge Lyu China	5	66 0.8×	52 1.3×	17 0.9×	16 3.2×	6 1.2×	6	103
Jamie Moon United States	4	46 0.5×	34 0.9×	15 0.8×	5 1.0×	10 2.0×	8	69
Kathrin Enderle-Ammour Germany	4	40 0.5×	23 0.6×	9 0.5×	3 0.6×	16 3.2×	6	64
Heather D. Moore United States	6	103 1.2×	76 1.9×	23 1.3×	8 1.6×	17 3.4×	6	137
Clyde Bango United States	4	52 0.6×	21 0.5×	28 1.6×	11 2.2×	18 3.6×	5	80
Tyler Levy United States	5	84 1.0×	42 1.1×	7 0.4×	5 1.0×	18 3.6×	8	124
Xander Spotbeen Belgium	4	39 0.5×	30 0.8×	9 0.5×	10 2.0×	2 0.4×	5	64
Ioannis Siavelis Sweden	3	58 0.7×	10 0.3×	19 1.1×	2 0.4×	9 1.8×	4	95

Countries citing papers authored by Mitra Barzine

Since Specialization

Citations

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

Fields of papers citing papers by Mitra Barzine

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitra Barzine

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

All Works

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4 of 4 papers shown

1.

Barzine, Mitra, et al.. (2024). Isolating high-quality RNA for RNA-Seq from 10-year-old blood samples. Scientific Reports. 14(1). 30716–30716.

2.

Jarnuczak, Andrew F., Hanna Najgebauer, Mitra Barzine, et al.. (2021). An integrated landscape of protein expression in human cancer. Scientific Data. 8(1). 115–115. 37 indexed citations

3.

Barzine, Mitra, James C. Wright, Fatemeh Zamanzad Ghavidel, et al.. (2020). Using Deep Learning to Extrapolate Protein Expression Measurements. PROTEOMICS. 20(21-22). e2000009–e2000009. 7 indexed citations

4.

Wright, James C., Jonathan M. Mudge, Hendrik Weisser, et al.. (2016). Improving GENCODE reference gene annotation using a high-stringency proteogenomics workflow. Nature Communications. 7(1). 11778–11778. 56 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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