Shiva Samavat

73 total papers · 789 total citations
47 papers, 604 citations indexed

About

Shiva Samavat is a scholar working on Surgery, Nephrology and Epidemiology. According to data from OpenAlex, Shiva Samavat has authored 47 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Surgery, 11 papers in Nephrology and 11 papers in Epidemiology. Recurrent topics in Shiva Samavat's work include Renal Transplantation Outcomes and Treatments (9 papers), COVID-19 Clinical Research Studies (7 papers) and Organ Transplantation Techniques and Outcomes (7 papers). Shiva Samavat is often cited by papers focused on Renal Transplantation Outcomes and Treatments (9 papers), COVID-19 Clinical Research Studies (7 papers) and Organ Transplantation Techniques and Outcomes (7 papers). Shiva Samavat collaborates with scholars based in Iran, Sweden and United States. Shiva Samavat's co-authors include Mohsen Nafar, Shiva Kalantari, Roman A. Zubarev, Mostafa Rezaei–Tavirani, Dorothea Rutishauser, Fariba Samadian, Pedram Ahmadpoor, Jamshid Salamzadeh, Nooshin Dalili and Mahmoud Parvin and has published in prestigious journals such as PLoS ONE, European Urology and Transplantation.

In The Last Decade

Shiva Samavat

46 papers receiving 598 citations

Author Peers

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

Author						Papers	Cites
Shiva Samavat	206	141	97	92	89	47	604
Daan Kremer	98 0.5×	92 0.7×	82 0.8×	60 0.7×	63 0.7×	69	644
Kyubok Jin	170 0.8×	93 0.7×	194 2.0×	116 1.3×	74 0.8×	93	670
Anne-Élisabeth Heng	118 0.6×	172 1.2×	131 1.4×	45 0.5×	115 1.3×	45	609
Chung Hee Baek	183 0.9×	141 1.0×	132 1.4×	32 0.3×	105 1.2×	56	609
Stanislas Bataille	236 1.1×	141 1.0×	95 1.0×	27 0.3×	81 0.9×	51	671
Pedram Ahmadpoor	101 0.5×	84 0.6×	142 1.5×	98 1.1×	135 1.5×	57	631
Giulia Ligabue	168 0.8×	104 0.7×	62 0.6×	72 0.8×	41 0.5×	59	502
Sul A Lee	260 1.3×	202 1.4×	81 0.8×	44 0.5×	78 0.9×	25	689
Chiara Cantarelli	201 1.0×	57 0.4×	62 0.6×	50 0.5×	77 0.9×	30	534
Gordon Chun‐Kau Chan	230 1.1×	67 0.5×	73 0.8×	26 0.3×	45 0.5×	51	604

Countries citing papers authored by Shiva Samavat

Since Specialization

Citations

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

Fields of papers citing papers by Shiva Samavat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiva Samavat

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