Bahar Memiş

2.1k citations
36 papers · 1.0k indexed · h-index 18

Impact in

Papers in

Bahar Memiş

36 papers receiving 996 citations

Peers

Bahar Memiş
Comparison fields: 5 of 74
  • Oncology 567
  • Reproductive Medicine 128
  • Surgery 652
  • Emergency Medicine 127
  • Computer Science Applications 55
Replace Yasushi Matsuyama with:
Yasushi Matsuyama Japan
Ruolan Xia China
Amy L. Jonson United States
Richard Stang Germany
J. Eduardo Pérez Spain
Spring Holter Canada
Ann K. Folkins United States
Nelson Lourenço France
Hideki Toyoda Japan
William A. Flood United States
Bahar Memiş relative to Yasushi Matsuyama Japan Yasushi Matsuyama's profile →
Citations per field
00.5×10×16×
Yasushi Matsuyama · 1×
Citations per year

Countries citing papers authored by Bahar Memiş

Since Specialization
Citations

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

Fields of papers citing papers by Bahar Memiş

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20232
2 20222
3 20225
4 202120
5 202030
6 202017
7 202036
8 201911
9 201813
10 201812
11 201815
12 20177
13 20173
14 201722
15 201646
16 201643
17 201629
18 201656
19 20167
20 201541

About Bahar Memiş

Bahar Memiş is a scholar working on Microbiology, Oncology, Surgery, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 36 papers that have together received 1.0k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (20 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (12 papers), Pancreatitis Pathology and Treatment (10 papers), Gallbladder and Bile Duct Disorders (8 papers), Neuroendocrine Tumor Research Advances (7 papers), Gastrointestinal disorders and treatments (5 papers), Genetic factors in colorectal cancer (4 papers) and Pediatric Hepatobiliary Diseases and Treatments (4 papers). The work is most often cited by research in Oncology (567 citations), Reproductive Medicine (128 citations), Surgery (652 citations), Emergency Medicine (127 citations) and Computer Science Applications (55 citations). Bahar Memiş has collaborated with scholars based in United States, Türkiye and South Korea. Frequent co-authors include Volkan Adsay, Olca Baştürk, Michelle D. Reid, Mustafa Güler, Ünal Çakıroğlu, Juan M. Sarmiento, Alyssa M. Krasinskas, Bassel F. El‐Rayes, Walid L. Shaib and Serdar Balcı. Their work appears in journals such as The American Journal of Surgical Pathology, Modern Pathology, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, Human Pathology and Cancer Cytopathology.

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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