Tsewang Tashi

144 total papers · 1.3k total citations
46 papers, 550 citations indexed

About

Tsewang Tashi is a scholar working on Genetics, Rheumatology and Molecular Biology. According to data from OpenAlex, Tsewang Tashi has authored 46 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Genetics, 13 papers in Rheumatology and 12 papers in Molecular Biology. Recurrent topics in Tsewang Tashi's work include Myeloproliferative Neoplasms: Diagnosis and Treatment (14 papers), Eosinophilic Disorders and Syndromes (11 papers) and Mast cells and histamine (9 papers). Tsewang Tashi is often cited by papers focused on Myeloproliferative Neoplasms: Diagnosis and Treatment (14 papers), Eosinophilic Disorders and Syndromes (11 papers) and Mast cells and histamine (9 papers). Tsewang Tashi collaborates with scholars based in United States, India and Spain. Tsewang Tashi's co-authors include Josef T. Prchal, Apar Kishor Ganti, Ibrahim Aldoss, Jihyun Song, Wilson I. Gonsalves, Shanmuga Subbiah, Felipe Lorenzo, Peter T. Silberstein, Soo Jin Kim and Chad D. Huff and has published in prestigious journals such as Journal of Clinical Oncology, Blood and PLoS ONE.

In The Last Decade

Tsewang Tashi

40 papers receiving 542 citations

Author Peers

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

Author						Papers	Cites
Tsewang Tashi	142	135	129	104	83	46	550
Motoaki Chin	54 0.4×	85 0.6×	218 1.7×	55 0.5×	56 0.7×	43	538
Kennedy Bj	58 0.4×	116 0.9×	108 0.8×	52 0.5×	57 0.7×	36	565
Béla Kajtár	54 0.4×	75 0.6×	223 1.7×	80 0.8×	123 1.5×	64	550
G Fanconi	150 1.1×	72 0.5×	291 2.3×	33 0.3×	81 1.0×	56	579
Francisco Tejada Cifuentes	63 0.4×	104 0.8×	167 1.3×	53 0.5×	32 0.4×	38	536
Maria de Lourdes Chauffaille	86 0.6×	80 0.6×	155 1.2×	245 2.4×	31 0.4×	65	573
Rasoul Pourebrahim	41 0.3×	74 0.5×	219 1.7×	31 0.3×	65 0.8×	33	527
Mathew J. Edick	121 0.9×	96 0.7×	294 2.3×	26 0.3×	32 0.4×	25	599
Müge Sayitoğlu	75 0.5×	97 0.7×	322 2.5×	48 0.5×	54 0.7×	47	597
Yuka Wada	174 1.2×	42 0.3×	283 2.2×	25 0.2×	65 0.8×	48	600

Countries citing papers authored by Tsewang Tashi

Since Specialization

Citations

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

Fields of papers citing papers by Tsewang Tashi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tsewang Tashi

This figure shows the co-authorship network connecting the top 25 collaborators of Tsewang Tashi. A scholar is included among the top collaborators of Tsewang Tashi 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 Tsewang Tashi. Tsewang Tashi 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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