Miroslav Hejna

992 total citations
11 papers, 634 citations indexed

About

Miroslav Hejna is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Biophysics. According to data from OpenAlex, Miroslav Hejna has authored 11 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Atomic and Molecular Physics, and Optics and 2 papers in Biophysics. Recurrent topics in Miroslav Hejna's work include Genomics and Chromatin Dynamics (4 papers), CRISPR and Genetic Engineering (3 papers) and Pluripotent Stem Cells Research (2 papers). Miroslav Hejna is often cited by papers focused on Genomics and Chromatin Dynamics (4 papers), CRISPR and Genetic Engineering (3 papers) and Pluripotent Stem Cells Research (2 papers). Miroslav Hejna collaborates with scholars based in United States, Germany and Philippines. Miroslav Hejna's co-authors include Jun S. Song, Miguel Ramalho‐Santos, Hu Jin, Aydan Bulut-Karslıoğlu, Steffen Biechele, Marina Gertsenstein, Trisha A. Macrae, Robert L. Judson, Aparna Jorapur and Jingwei Yu and has published in prestigious journals such as Nature, Nature Communications and Cancer Research.

In The Last Decade

Miroslav Hejna

11 papers receiving 631 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Miroslav Hejna United States	10	465	90	68	62	56	11	634
Itamar Kanter Israel	12	510 1.1×	49 0.5×	32 0.5×	27 0.4×	50 0.9×	18	602
Souichi Kurita Japan	15	368 0.8×	315 3.5×	49 0.7×	64 1.0×	68 1.2×	18	741
Rui Pires Martins United States	8	621 1.3×	128 1.4×	120 1.8×	52 0.8×	31 0.6×	11	856
Adam B. Johnston United States	9	225 0.5×	233 2.6×	40 0.6×	35 0.6×	40 0.7×	9	448
Minzhou Huang United States	11	347 0.7×	294 3.3×	53 0.8×	46 0.7×	37 0.7×	13	617
Michelle L. Duquette United States	10	822 1.8×	65 0.7×	54 0.8×	97 1.6×	48 0.9×	12	942
Elaine P.S. Gee United States	7	256 0.6×	61 0.7×	53 0.8×	33 0.5×	19 0.3×	10	423
Franz Vauti Germany	15	596 1.3×	164 1.8×	184 2.7×	63 1.0×	47 0.8×	27	804
Andres M. Lebensohn United States	10	550 1.2×	481 5.3×	102 1.5×	57 0.9×	91 1.6×	14	886
Lidija Pestic‐Dragovich United States	7	375 0.8×	143 1.6×	34 0.5×	44 0.7×	90 1.6×	8	558

Countries citing papers authored by Miroslav Hejna

Since Specialization

Citations

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

Fields of papers citing papers by Miroslav Hejna

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miroslav Hejna

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

All Works

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11 of 11 papers shown

Bulut-Karslıoğlu, Aydan, Hu Jin, Marcela Guzman-Ayala, et al.. (2021). Chd1 protects genome integrity at promoters to sustain hypertranscription in embryonic stem cells. Nature Communications. 12(1). 4859–4859. 11 indexed citations

Futtner, Christopher R., Miroslav Hejna, Poorva Sandlesh, et al.. (2021). Epigenomic tensor predicts disease subtypes and reveals constrained tumor evolution. Cell Reports. 34(13). 108927–108927. 14 indexed citations

Yokoyama, Satoru, Atsushi Takahashi, Ryota Kikuchi, et al.. (2021). SOX10 Regulates Melanoma Immunogenicity through an IRF4–IRF1 Axis. Cancer Research. 81(24). 6131–6141. 40 indexed citations

Basu, Aakash, Dmitriy G. Bobrovnikov, Tunc Kayikcioglu, et al.. (2020). Measuring DNA mechanics on the genome scale. Nature. 589(7842). 462–467. 92 indexed citations

Lang, Ursula E., Miroslav Hejna, Samuel J. Shelton, et al.. (2019). MicroRNA Ratios Distinguish Melanomas from Nevi. Journal of Investigative Dermatology. 140(1). 164–173.e7. 31 indexed citations

Judson, Robert L., Miroslav Hejna, Aparna Jorapur, Jun S. Song, & Yuntian Zhang. (2018). Quantification of mammalian tumor cell state plasticity with digital holographic cytometry. 4. 36–36. 2 indexed citations

Hejna, Miroslav, et al.. (2018). Local genomic features predict the distinct and overlapping binding patterns of the bHLH‐Zip family oncoproteins MITF and MYC‐MAX. Pigment Cell & Melanoma Research. 32(4). 500–509. 10 indexed citations

Hejna, Miroslav, Aparna Jorapur, Jun S. Song, & Robert L. Judson. (2017). High accuracy label-free classification of single-cell kinetic states from holographic cytometry of human melanoma cells. Scientific Reports. 7(1). 11943–11943. 48 indexed citations

Bulut-Karslıoğlu, Aydan, Steffen Biechele, Hu Jin, et al.. (2016). Inhibition of mTOR induces a paused pluripotent state. Nature. 540(7631). 119–123. 190 indexed citations

10.

Han, Qin, Miroslav Hejna, Yanxia Liu, et al.. (2016). YAP Induces Human Naive Pluripotency. Cell Reports. 14(10). 2301–2312. 150 indexed citations

11.

Rube, H. Tomas, Wooje Lee, Miroslav Hejna, et al.. (2016). Sequence features accurately predict genome-wide MeCP2 binding in vivo. Nature Communications. 7(1). 11025–11025. 46 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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