Baharak Khadang

16 total papers · 586 total citations
13 papers, 471 citations indexed

About

Baharak Khadang is a scholar working on Oncology, Epidemiology and Molecular Biology. According to data from OpenAlex, Baharak Khadang has authored 13 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 4 papers in Epidemiology and 3 papers in Molecular Biology. Recurrent topics in Baharak Khadang's work include Influenza Virus Research Studies (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Cancer-related Molecular Pathways (2 papers). Baharak Khadang is often cited by papers focused on Influenza Virus Research Studies (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Cancer-related Molecular Pathways (2 papers). Baharak Khadang collaborates with scholars based in Canada, Italy and Iran. Baharak Khadang's co-authors include Emanuele Montomoli, Simona Piccirella, Roberto Camerini, Alamtaj Samsami Dehaghani, Mohammad Javad Fattahi, Abbas Ghaderi, Jun Tian, Abdolrasoul Talei, Suhad Ali and Antonio Giordano and has published in prestigious journals such as SHILAP Revista de lepidopterología, Oncogene and British Journal of Cancer.

In The Last Decade

Baharak Khadang

12 papers receiving 458 citations

Author Peers

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

Author Last Decade Papers Cites
Baharak Khadang 210 132 115 81 51 13 471
Daniela Pintérová 167 0.8× 91 0.7× 76 0.7× 85 1.0× 60 1.2× 18 501
Nathan A. Krump 127 0.6× 231 1.8× 69 0.6× 93 1.1× 42 0.8× 11 479
Joong-Kook Choi 212 1.0× 202 1.5× 169 1.5× 91 1.1× 27 0.5× 15 462
Christine Frantz 211 1.0× 152 1.2× 53 0.5× 98 1.2× 35 0.7× 9 452
Jens Würthner 326 1.6× 94 0.7× 48 0.4× 104 1.3× 26 0.5× 15 547
Richard Priest 212 1.0× 59 0.4× 103 0.9× 172 2.1× 34 0.7× 15 507
Aloke Sarkar 272 1.3× 105 0.8× 107 0.9× 100 1.2× 16 0.3× 20 491
Chelsea M. Ruller 292 1.4× 108 0.8× 103 0.9× 111 1.4× 61 1.2× 14 535
Daniela De Martino 195 0.9× 135 1.0× 86 0.7× 71 0.9× 35 0.7× 15 466
Ebenezer David 341 1.6× 167 1.3× 72 0.6× 108 1.3× 38 0.7× 20 514

Countries citing papers authored by Baharak Khadang

Since Specialization
Citations

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

Fields of papers citing papers by Baharak Khadang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baharak Khadang

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