Munmun Rahman

32 papers receiving 832 citations

Peers

Munmun Rahman
Comparison fields: 5 of 67
  • Reproductive Medicine 219
  • Obstetrics and Gynecology 87
  • Cancer Research 170
  • Pathology and Forensic Medicine 161
  • Molecular Biology 500
Replace Yoshimichi Tanaka with:
Yoshimichi Tanaka Japan
Satoshi Tsunetoh Japan
Satoe Fujiwara Japan
Philip C. Schouten Netherlands
Robert L. Hollis United Kingdom
Gemma Toledo Spain
Mingzi Tan China
Jennifer R. Ribeiro United States
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Munmun Rahman relative to Yoshimichi Tanaka Japan Yoshimichi Tanaka's profile →
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Citations per year

Countries citing papers authored by Munmun Rahman

Since Specialization
Citations

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

Fields of papers citing papers by Munmun Rahman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011174
2 201164
3 201258
4 201255
5 201152
6 201549
7 201036
8 201135
9 201034
10 201329
11 201328
12 201226
13 201020
14 201320
15 201220
16
Gene amplification of ZNF217 located at chr20q13.2 is associated with lymph node metastasis in ovarian clear cell carcinoma.
201217
17
PPP2R1A mutation is a rare event in ovarian carcinoma across histological subtypes.
201313
18 201012
19 201011
20
ESR1 gene amplification in endometrial carcinomas: a clinicopathological analysis.
201311

About Munmun Rahman

Munmun Rahman is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine, Oncology and Obstetrics and Gynecology, having authored 36 papers that have together received 842 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (6 papers), Cancer Mechanisms and Therapy (5 papers), Chromatin Remodeling and Cancer (5 papers), FOXO transcription factor regulation (4 papers), Melanoma and MAPK Pathways (4 papers), Renal cell carcinoma treatment (3 papers), Cancer Diagnosis and Treatment (3 papers) and Endometrial and Cervical Cancer Treatments (3 papers). The work is most often cited by research in Reproductive Medicine (219 citations), Obstetrics and Gynecology (87 citations), Cancer Research (170 citations), Pathology and Forensic Medicine (161 citations) and Molecular Biology (500 citations). Munmun Rahman has collaborated with scholars based in Japan, United States and Bangladesh. Frequent co-authors include Kentaro Nakayama, Kouji Iida, Mohammed Tanjimur Rahman, Masako Ishikawa, Kohji Miyazaki, Atsuko Katagiri, Yoshiro Otsuki, Naomi Nakayama, Hiroshi Katagiri and Tomoka Ishibashi. Their work appears in journals such as Human Pathology, International Journal of Gynecological Cancer, Gynecologic Oncology, Archives of Gynecology and Obstetrics and International Journal of Molecular Sciences.

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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