Chieko Ejima

445 total citations
8 papers, 360 citations indexed

About

Chieko Ejima is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Chieko Ejima has authored 8 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Epidemiology. Recurrent topics in Chieko Ejima's work include Liver Disease Diagnosis and Treatment (2 papers), Cell Adhesion Molecules Research (2 papers) and Immune Cell Function and Interaction (2 papers). Chieko Ejima is often cited by papers focused on Liver Disease Diagnosis and Treatment (2 papers), Cell Adhesion Molecules Research (2 papers) and Immune Cell Function and Interaction (2 papers). Chieko Ejima collaborates with scholars based in Japan, United States and United Kingdom. Chieko Ejima's co-authors include Taeko Dohi, Rie Kato, Yuki I. Kawamura, Itaru Kojima, Rei Kawashima, Yoshiaki Tabuchi, Noriko Mizutani, Hiroshi Nagura, Masahiro Murata and Seiji Arihiro and has published in prestigious journals such as Gastroenterology, Journal of Crohn s and Colitis and BMC Gastroenterology.

In The Last Decade

Chieko Ejima

8 papers receiving 354 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chieko Ejima Japan	7	141	133	124	95	63	8	360
Manijeh H. Phillips United States	3	125 0.9×	151 1.1×	128 1.0×	95 1.0×	98 1.6×	5	426
Mary Beth Bowen-Yacyshyn Canada	6	153 1.1×	198 1.5×	178 1.4×	96 1.0×	80 1.3×	8	499
Gaik W. Tew United States	8	82 0.6×	101 0.8×	106 0.9×	76 0.8×	55 0.9×	15	367
S Bregenholt Denmark	12	220 1.6×	93 0.7×	73 0.6×	34 0.4×	68 1.1×	17	368
Mara Oliveri Italy	9	111 0.8×	42 0.3×	124 1.0×	43 0.5×	46 0.7×	9	379
M. Haq United Kingdom	8	51 0.4×	62 0.5×	150 1.2×	46 0.5×	36 0.6×	11	405
Jeffrey J. Hubert United States	8	136 1.0×	57 0.4×	200 1.6×	91 1.0×	97 1.5×	14	482
Debo Kong China	10	56 0.4×	59 0.4×	198 1.6×	89 0.9×	61 1.0×	21	413
Hengwei Qin China	10	390 2.8×	303 2.3×	132 1.1×	34 0.4×	130 2.1×	21	645
Beáta Tóth Hungary	14	285 2.0×	132 1.0×	69 0.6×	110 1.2×	24 0.4×	33	535

Countries citing papers authored by Chieko Ejima

Since Specialization

Citations

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

Fields of papers citing papers by Chieko Ejima

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chieko Ejima

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

All Works

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8 of 8 papers shown

1.

Yamada, Shoji, Nobuhiko Kamada, Nobuhiro Nakamoto, et al.. (2017). Gut microbiota-mediated generation of saturated fatty acids elicits inflammation in the liver in murine high-fat diet-induced steatohepatitis. BMC Gastroenterology. 17(1). 136–136. 39 indexed citations

2.

Ejima, Chieko, et al.. (2016). A novel diet‐induced murine model of steatohepatitis with fibrosis for screening and evaluation of drug candidates for nonalcoholic steatohepatitis. Physiological Reports. 4(21). 15 indexed citations

3.

Tagami, Uno, Kazutoshi Takahashi, Chieko Ejima, et al.. (2016). Interaction Analysis of FABP4 Inhibitors by X-ray Crystallography and Fragment Molecular Orbital Analysis. ACS Medicinal Chemistry Letters. 7(4). 435–439. 17 indexed citations

4.

Sugiura, Toshihiko, Shunsuke Kageyama, Ayatoshi Andou, et al.. (2013). Oral treatment with a novel small molecule alpha 4 integrin antagonist, AJM300, prevents the development of experimental colitis in mice. Journal of Crohn s and Colitis. 7(11). e533–e542. 52 indexed citations

5.

Dohi, Taeko, Chieko Ejima, Rie Kato, et al.. (2005). Therapeutic potential of follistatin for colonic inflammation in mice. Gastroenterology. 128(2). 411–423. 83 indexed citations

6.

Dohi, Taeko, Kohtaro Fujihashi, Toshiya Koga, et al.. (2003). T helper type-2 cells induce ileal villus atrophy, goblet cell metaplasia, and wasting disease in T cell–deficient mice. Gastroenterology. 124(3). 672–682. 36 indexed citations

7.

Arihiro, Seiji, Haruo Ohtani, Manabu Suzuki, et al.. (2002). Differential expression of mucosal addressin cell adhesion molecule‐1 (MAdCAM‐1) in ulcerative colitis and Crohn's disease. Pathology International. 52(5-6). 367–374. 115 indexed citations

8.

Suzuki, Hideki, Akira Okano, Chieko Ejima, et al.. (1996). Interleukin‐6 and Granulocyte Colony‐stimulating Factor Synergistically Increase Peripheral Blood Progenitor Cells in Myelosuppressive Mice. Japanese Journal of Cancer Research. 87(9). 938–944. 3 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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