C. Chams‐Davatchi

30 total papers · 2.2k total citations
27 papers, 532 citations indexed

About

C. Chams‐Davatchi is a scholar working on Pathology and Forensic Medicine, Rheumatology and Genetics. According to data from OpenAlex, C. Chams‐Davatchi has authored 27 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Pathology and Forensic Medicine, 11 papers in Rheumatology and 7 papers in Genetics. Recurrent topics in C. Chams‐Davatchi's work include Autoimmune Bullous Skin Diseases (20 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (7 papers) and Hair Growth and Disorders (6 papers). C. Chams‐Davatchi is often cited by papers focused on Autoimmune Bullous Skin Diseases (20 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (7 papers) and Hair Growth and Disorders (6 papers). C. Chams‐Davatchi collaborates with scholars based in Iran and United States. C. Chams‐Davatchi's co-authors include Maryam Daneshpazhooh, M Akhyani, Zahra Hallaji, Kamran Balighi, Hossein Mortazavi, Fereydoun Davatchi, Mahin Valikhani, Mahtab Zarei, Mohammad Hassan Javanbakht and Seyed Zahra Ghodsi and has published in prestigious journals such as SHILAP Revista de lepidopterología, British Journal of Dermatology and European Journal of Clinical Nutrition.

In The Last Decade

C. Chams‐Davatchi

27 papers receiving 521 citations

Author Peers

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

Author						Papers	Cites
C. Chams‐Davatchi	354	215	215	88	78	27	532
H. Pillekamp	248 0.7×	175 0.8×	208 1.0×	116 1.3×	44 0.6×	21	462
A. Razzaque Ahmed	365 1.0×	207 1.0×	243 1.1×	48 0.5×	80 1.0×	15	585
Benjamin S. Daniel	310 0.9×	184 0.9×	215 1.0×	177 2.0×	33 0.4×	37	580
Thada Piamphongsant	248 0.7×	125 0.6×	150 0.7×	168 1.9×	37 0.5×	34	480
C. Astarita	229 0.6×	128 0.6×	246 1.1×	132 1.5×	94 1.2×	31	616
S. Grootenboer‐Mignot	218 0.6×	138 0.6×	395 1.8×	47 0.5×	43 0.6×	25	597
Yoshie Kawahara	343 1.0×	314 1.5×	307 1.4×	28 0.3×	73 0.9×	25	501
M Binaghi	94 0.3×	73 0.3×	106 0.5×	83 0.9×	55 0.7×	35	518
V. Doffoël-Hantz	308 0.9×	265 1.2×	272 1.3×	57 0.6×	21 0.3×	23	468
Patricia Pei Lin Ng	226 0.6×	89 0.4×	282 1.3×	119 1.4×	36 0.5×	25	493

Countries citing papers authored by C. Chams‐Davatchi

Since Specialization

Citations

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

Fields of papers citing papers by C. Chams‐Davatchi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. Chams‐Davatchi. 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 C. Chams‐Davatchi. The network helps show where C. Chams‐Davatchi may publish in the future.

Co-authorship network of co-authors of C. Chams‐Davatchi

This figure shows the co-authorship network connecting the top 25 collaborators of C. Chams‐Davatchi. A scholar is included among the top collaborators of C. Chams‐Davatchi 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 C. Chams‐Davatchi. C. Chams‐Davatchi 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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