Rajan Gogna

67 total papers · 1.5k total citations
36 papers, 908 citations indexed

About

Rajan Gogna is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Rajan Gogna has authored 36 papers receiving a total of 908 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 17 papers in Cancer Research and 15 papers in Oncology. Recurrent topics in Rajan Gogna's work include Cancer-related Molecular Pathways (10 papers), Cancer, Hypoxia, and Metabolism (10 papers) and Hippo pathway signaling and YAP/TAZ (8 papers). Rajan Gogna is often cited by papers focused on Cancer-related Molecular Pathways (10 papers), Cancer, Hypoxia, and Metabolism (10 papers) and Hippo pathway signaling and YAP/TAZ (8 papers). Rajan Gogna collaborates with scholars based in United States, Portugal and India. Rajan Gogna's co-authors include Esha Madan, Uttam Pati, Periannan Kuppusamy, Eduardo Moreno, Abbas Ali Mahdi, Madan Lal Brahma Bhatt, Taylor M. Parker, Antonio Palma, Bernhard K. Keppler and Paul B. Fisher and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Rajan Gogna

35 papers receiving 901 citations

Author Peers

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

Author Last Decade Papers Cites
Rajan Gogna 542 317 264 120 76 36 908
Efstathia Giannopoulou 561 1.0× 278 0.9× 297 1.1× 162 1.4× 51 0.7× 44 1.0k
Peijun Liu 661 1.2× 349 1.1× 255 1.0× 161 1.3× 47 0.6× 34 969
Baek Gil Kim 594 1.1× 371 1.2× 404 1.5× 160 1.3× 103 1.4× 31 1.0k
Françoise Garrouste 537 1.0× 265 0.8× 182 0.7× 102 0.8× 32 0.4× 36 990
Saiful Effendi Syafruddin 583 1.1× 250 0.8× 194 0.7× 120 1.0× 74 1.0× 40 967
Junhye Kwon 593 1.1× 205 0.6× 273 1.0× 99 0.8× 39 0.5× 31 849
Annett Linge 443 0.8× 238 0.8× 318 1.2× 85 0.7× 85 1.1× 42 884
Jianhong Zuo 658 1.2× 386 1.2× 283 1.1× 66 0.6× 45 0.6× 29 1.0k
Tao Zhao 538 1.0× 400 1.3× 195 0.7× 75 0.6× 41 0.5× 30 931
Taiji Yamazoe 541 1.0× 230 0.7× 433 1.6× 115 1.0× 67 0.9× 26 989

Countries citing papers authored by Rajan Gogna

Since Specialization
Citations

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

Fields of papers citing papers by Rajan Gogna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajan Gogna

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