Mai Gu

2.1k citations
51 papers · 1.7k · h-index 21

Impact in

Papers in

Mai Gu

50 papers receiving 1.6k citations

Peers

Mai Gu
Comparison fields: 5 of 87
  • Obstetrics and Gynecology 213
  • Gastroenterology 146
  • Oncology 457
  • Pulmonary and Respiratory Medicine 321
  • Otorhinolaryngology 42
Replace Miki Kushima with:
Miki Kushima Japan
R P Kedar United Kingdom
Rumelia Koren Israel
Pasquale Spinelli Italy
Shozo Hirota Japan
Naoki Nakamura Japan
Cher‐Wei Liang Taiwan
Catherine E. Devine United States
George Peros Greece
Mai Gu relative to Miki Kushima Japan Miki Kushima's profile →
Citations per field
00.5×2×4×6×7.3×
Miki Kushima · 1×
Citations per year

Countries citing papers authored by Mai Gu

Since Specialization
Citations

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

Fields of papers citing papers by Mai Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mai 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 Mai Gu Line = papers co-authored together Mai Gu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000162
2 2013136
3 2006134
4 2005119
5 2001103
6 200699
7 200684
8 200671
9 200159
10 201358
11 200155
12 200049
13 200544
14 200541
15
Pancreatic schwannoma. A case report and review of the literature.
200439
16 200234
17 200229
18 200928
19 200527
20 200727

About Mai Gu

Mai Gu is a scholar working on Obstetrics and Gynecology, Oncology, Pathology and Forensic Medicine, Rheumatology and Gastroenterology, having authored 51 papers that have together received 1.7k indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (6 papers), Pancreatic and Hepatic Oncology Research (6 papers), Ear and Head Tumors (4 papers), Salivary Gland Tumors Diagnosis and Treatment (4 papers), Sarcoma Diagnosis and Treatment (4 papers), Optical Coherence Tomography Applications (4 papers), Ovarian cancer diagnosis and treatment (3 papers) and Cancer and Skin Lesions (3 papers). The work is most often cited by research in Obstetrics and Gynecology (213 citations), Gastroenterology (146 citations), Oncology (457 citations), Pulmonary and Respiratory Medicine (321 citations) and Otorhinolaryngology (42 citations). Mai Gu has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Fritz Lin, Phuong Nguyen, William B. Armstrong, Brian J. F. Wong, Terry Y. Shibuya, Roger L. Crumley, Usama X. Mahmood, Cristina R. Antonescu, Gerardo E. Guiter and Maureen Frances Zakowski. Their work appears in journals such as Acta Cytologica, Diagnostic Cytopathology, Gynecologic Oncology, Cytopathology and Cancer.

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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