Erik Johansson

588 total citations
9 papers, 470 citations indexed

About

Erik Johansson is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Erik Johansson has authored 9 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Cancer Research. Recurrent topics in Erik Johansson's work include TGF-β signaling in diseases (3 papers), Gastric Cancer Management and Outcomes (2 papers) and Sympathectomy and Hyperhidrosis Treatments (1 paper). Erik Johansson is often cited by papers focused on TGF-β signaling in diseases (3 papers), Gastric Cancer Management and Outcomes (2 papers) and Sympathectomy and Hyperhidrosis Treatments (1 paper). Erik Johansson collaborates with scholars based in Sweden, Japan and China. Erik Johansson's co-authors include Akiyoshi Komuro, Caname Iwata, Yasuyuki Morishita, Mitsunobu R. Kano, Kohei Miyazono, Masakazu Yashiro, Kunihiko Kiyono, Kosei Hirakawa, Johan Boman and Francesc Posas and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, Cancer Research and Scientific Reports.

In The Last Decade

Erik Johansson

9 papers receiving 465 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Erik Johansson Sweden	8	307	138	83	48	47	9	470
Yu‐Wei Chang Taiwan	15	271 0.9×	105 0.8×	84 1.0×	69 1.4×	44 0.9×	31	472
M. Vijaya Kumar India	9	271 0.9×	174 1.3×	97 1.2×	51 1.1×	56 1.2×	11	425
Martin Chopra Germany	15	180 0.6×	118 0.9×	137 1.7×	15 0.3×	19 0.4×	27	551
Qiumeng Liu China	15	403 1.3×	132 1.0×	146 1.8×	21 0.4×	76 1.6×	33	616
Yinyin Xie China	11	252 0.8×	93 0.7×	73 0.9×	26 0.5×	34 0.7×	35	480
Yanrong Su United States	14	314 1.0×	132 1.0×	127 1.5×	16 0.3×	42 0.9×	23	460
Brian D. Larsen Denmark	8	476 1.6×	163 1.2×	83 1.0×	22 0.5×	21 0.4×	10	622
Lihua Wu Japan	13	261 0.9×	78 0.6×	139 1.7×	36 0.8×	37 0.8×	14	487
Xiong Chen China	15	543 1.8×	91 0.7×	441 5.3×	53 1.1×	69 1.5×	37	764
Andy D.J. Pearson United Kingdom	10	395 1.3×	68 0.5×	97 1.2×	19 0.4×	18 0.4×	12	532

Countries citing papers authored by Erik Johansson

Since Specialization

Citations

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

Fields of papers citing papers by Erik Johansson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erik Johansson

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

All Works

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9 of 9 papers shown

1.

Johansson, Erik & Hiroo Ueno. (2021). Characterization of normal and cancer stem-like cell populations in murine lingual epithelial organoids using single-cell RNA sequencing. Scientific Reports. 11(1). 22329–22329. 7 indexed citations

2.

Johansson, Erik, et al.. (2016). Nuclear receptor TLX inhibits TGF-β signaling in glioblastoma. Experimental Cell Research. 343(2). 118–125. 15 indexed citations

3.

Johansson, Erik, Pavithra L. Chavali, Nina Akrap, et al.. (2012). TLX controls angiogenesis through interaction with the von Hippel-Lindau protein. Biology Open. 1(6). 527–535. 16 indexed citations

4.

Jörnsten, Rebecka, Teresia Kling, Linnéa Schmidt, et al.. (2011). Network modeling of the transcriptional effects of copy number aberrations in glioblastoma. Molecular Systems Biology. 7(1). 486–486. 70 indexed citations

5.

Johansson, Erik, Akiyoshi Komuro, Caname Iwata, et al.. (2010). Exogenous introduction of tissue inhibitor of metalloproteinase 2 reduces accelerated growth of TGF‐β‐disrupted diffuse‐type gastric carcinoma. Cancer Science. 101(11). 2398–2403. 14 indexed citations

6.

Johansson, Erik. (2010). TGF-beta signaling in cancer. Gothenburg University Publications Electronic Archive (Gothenburg University). 35 indexed citations

7.

Komuro, Akiyoshi, Masakazu Yashiro, Caname Iwata, et al.. (2009). Diffuse-Type Gastric Carcinoma: Progression, Angiogenesis, and Transforming Growth Factor β Signaling. JNCI Journal of the National Cancer Institute. 101(8). 592–604. 60 indexed citations

8.

Iwata, Caname, Mitsunobu R. Kano, Akiyoshi Komuro, et al.. (2007). Inhibition of Cyclooxygenase-2 Suppresses Lymph Node Metastasis via Reduction of Lymphangiogenesis. Cancer Research. 67(21). 10181–10189. 110 indexed citations

9.

Thorsen, Michael, Yujun Di, Carolina Tängemo, et al.. (2006). The MAPK Hog1p Modulates Fps1p-dependent Arsenite Uptake and Tolerance in Yeast. Molecular Biology of the Cell. 17(10). 4400–4410. 143 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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