In Gu

14 papers receiving 202 citations

Peers

In Gu
Comparison fields: 5 of 48
  • Gastroenterology 15
  • Oncology 64
  • Pathology and Forensic Medicine 41
  • Cancer Research 33
  • Endocrinology, Diabetes and Metabolism 35
Replace Chaojie Wang with:
Chaojie Wang United States
Bryan Peterson United States
G. Hommel Germany
Keigo Yokoi Japan
Cecília Correia Portugal
Sam O. Kleeman United States
David Papadimos Australia
Yachen Zang China
Aaron John Spittler United States
In Gu relative to Chaojie Wang United States Chaojie Wang's profile →
Citations per field
00.5×1.6×
Chaojie Wang · 1×
Citations per year

Countries citing papers authored by In Gu

Since Specialization
Citations

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

Fields of papers citing papers by In Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside In Gu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with In Gu Line = papers co-authored together In Gu links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 200635
2 200833
3 201431
4
Clinical significance of galectin-7 in epithelial ovarian cancer.
201325
5
Overexpression of cytokeratin 17 is associated with the development of papillary thyroid carcinoma and the presence of lymph node metastasis.
201519
6 201615
7
Predictive and prognostic value of sphingosine kinase 1 expression in patients with invasive ductal carcinoma of the breast.
201712
8 20199
9 20158
10
Solitary Pulmonary Mixed Squamous Cell and Glandular Papilloma: A Brief Case Report
20087
11 20095
12
A Case of Prenatally Diagnosed Jacobsen syndrome.
20053
13
A Case of Endometrial Cancer with Hereditary Non-Polyposis Colorectal Cancer (HNPCC)
20051
14 20191
15
[A case of dieulafoy lesion in the jejunum].
20080

About In Gu

In Gu is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine and Surgery, having authored 15 papers that have together received 204 indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (3 papers), Soft tissue tumor case studies (2 papers), Colorectal Cancer Treatments and Studies (2 papers), Gastrointestinal Tumor Research and Treatment (2 papers), Oral and Maxillofacial Pathology (2 papers), Colorectal Cancer Screening and Detection (2 papers), Thyroid Cancer Diagnosis and Treatment (2 papers) and Cancer and Skin Lesions (2 papers). The work is most often cited by research in Gastroenterology (15 citations), Oncology (64 citations), Pathology and Forensic Medicine (41 citations), Cancer Research (33 citations) and Endocrinology, Diabetes and Metabolism (35 citations). In Gu has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Yong-Koo Park, Youn Wha Kim, Seoung Wan Chae, Cheol Keun Park, Jin Hee Sohn, Kyungeun Kim, Kyoung‐Mee Kim, Sung Il Im, Hyun Soo Kim and Tae Sung Sohn. Their work appears in journals such as Applied immunohistochemistry & molecular morphology, Clinical Cancer Research, The American Journal of Surgical Pathology, BMC Gastroenterology and Pathology - Research and Practice.

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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