Kiarash Tanha

43 total papers · 797 total citations
31 papers, 526 citations indexed

About

Kiarash Tanha is a scholar working on Surgery, Molecular Biology and Oncology. According to data from OpenAlex, Kiarash Tanha has authored 31 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 5 papers in Molecular Biology and 5 papers in Oncology. Recurrent topics in Kiarash Tanha's work include Radiomics and Machine Learning in Medical Imaging (3 papers), Bone health and osteoporosis research (3 papers) and Meta-analysis and systematic reviews (3 papers). Kiarash Tanha is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), Bone health and osteoporosis research (3 papers) and Meta-analysis and systematic reviews (3 papers). Kiarash Tanha collaborates with scholars based in Iran, United Kingdom and United States. Kiarash Tanha's co-authors include Leila Janani, Azadeh Mottaghi, Reza Negarandeh, Hamid Abdollahi, Marzieh Nojomi, Bahram Mofid, Abolfazl Razzaghdoust, Mohsen Bakhshandeh, Seied Rabi Mahdavi and Rokhsareh Aghili and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physiology & Behavior and Calcified Tissue International.

In The Last Decade

Kiarash Tanha

31 papers receiving 517 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Kiarash Tanha	127	94	75	68	56	31	526
Bo-Kyoung Kim	46 0.4×	73 0.8×	70 0.9×	62 0.9×	87 1.6×	18	593
Janice Campbell	127 1.0×	131 1.4×	56 0.7×	34 0.5×	66 1.2×	33	614
Michiko Dohi	104 0.8×	71 0.8×	100 1.3×	131 1.9×	39 0.7×	40	615
Kelly Williamson	67 0.5×	45 0.5×	54 0.7×	53 0.8×	46 0.8×	42	507
Haifeng Hu	58 0.5×	185 2.0×	68 0.9×	51 0.8×	40 0.7×	24	488
Aashna Mehta	31 0.2×	66 0.7×	100 1.3×	54 0.8×	83 1.5×	43	554
Julia Franke	42 0.3×	93 1.0×	88 1.2×	64 0.9×	136 2.4×	25	593
Gregory J. Davis	53 0.4×	91 1.0×	57 0.8×	16 0.2×	75 1.3×	38	588
Guihua Xu	100 0.8×	38 0.4×	21 0.3×	37 0.5×	59 1.1×	23	453
Heidi Lumish	59 0.5×	57 0.6×	104 1.4×	60 0.9×	110 2.0×	39	571

Countries citing papers authored by Kiarash Tanha

Since Specialization

Citations

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

Fields of papers citing papers by Kiarash Tanha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kiarash Tanha

This figure shows the co-authorship network connecting the top 25 collaborators of Kiarash Tanha. A scholar is included among the top collaborators of Kiarash Tanha based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kiarash Tanha. Kiarash Tanha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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