Farid Kosari

720 citations
41 papers · 510 · h-index 10

Impact in

Papers in

Farid Kosari

39 papers receiving 490 citations

Peers

Farid Kosari
Comparison fields: 5 of 57
  • Pathology and Forensic Medicine 237
  • Genetics 81
  • Oncology 152
  • Reproductive Medicine 37
  • Neurology 63
Replace Miaoxia He with:
Miaoxia He China
Elisabetta Froio Italy
Berna Bozkurt Duman Türkiye
Akiko Tonooka Japan
Kae Kawachi Japan
Seiji Kuma Japan
Barbara Vannata Italy
Kazuei Hoshi Japan
Milena Todorović Serbia
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Citations per field
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Citations per year

Countries citing papers authored by Farid Kosari

Since Specialization
Citations

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

Fields of papers citing papers by Farid Kosari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008132
2 2005124
3
Histopathological Study of Chronic Hepatitis B: A Comparative Study of Ishak and METAVIR Scoring Systems.
201026
4 200922
5 201818
6 201615
7 201415
8 201213
9 200913
10 200811
11 20149
12 20189
13 20138
14 20138
15 20228
16 20168
17
The Correlation Between Liver Fat Content and Ulcerative Colitis Disease Severity.
20178
18 20186
19 20176
20
PCR-based clonality analysis in diffuse large B-cell lymphoma using BIOMED-2 primers of IgH (FR3) on formalin-fixed paraffin-embedded tissue.
20135

About Farid Kosari

Farid Kosari is a scholar working on Pathology and Forensic Medicine, Oncology, Molecular Biology, Epidemiology and Neurology, having authored 41 papers that have together received 510 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (9 papers), CNS Lymphoma Diagnosis and Treatment (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Viral-associated cancers and disorders (3 papers), Cutaneous lymphoproliferative disorders research (3 papers), DNA Repair Mechanisms (2 papers), Hepatitis B Virus Studies (2 papers) and Hepatitis C virus research (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (237 citations), Genetics (81 citations), Oncology (152 citations), Reproductive Medicine (37 citations) and Neurology (63 citations). Farid Kosari has collaborated with scholars based in Iran, United States and Germany. Frequent co-authors include Yahya Daneshbod, Reza Parwaresch, Hans‐Heinrich Wacker, Wolfgang Hiddemann, Lorenz Trümper, Markus Loeffler, German Ott, Reiner Siebert, Andreas Rosenwald and Samira Zeynalova. Their work appears in journals such as Gene, Pharmacogenomics, Histopathology, Hematological Oncology and Gastroenterology.

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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