Niyati Lobo

47 total papers · 1.3k total citations
28 papers, 786 citations indexed

About

Niyati Lobo is a scholar working on Surgery, Urology and Molecular Biology. According to data from OpenAlex, Niyati Lobo has authored 28 papers receiving a total of 786 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Surgery, 7 papers in Urology and 5 papers in Molecular Biology. Recurrent topics in Niyati Lobo's work include Bladder and Urothelial Cancer Treatments (20 papers), Urinary and Genital Oncology Studies (18 papers) and Urological Disorders and Treatments (7 papers). Niyati Lobo is often cited by papers focused on Bladder and Urothelial Cancer Treatments (20 papers), Urinary and Genital Oncology Studies (18 papers) and Urological Disorders and Treatments (7 papers). Niyati Lobo collaborates with scholars based in United Kingdom, United States and Italy. Niyati Lobo's co-authors include Ramesh Thurairaja, Muhammad Shamim Khan, Rajesh Nair, Daqing Ma, Ashish M. Kamat, Stephen B. Williams, Steve Gentleman, Sarah P. Psutka, Luca Afferi and Sima P. Porten and has published in prestigious journals such as SHILAP Revista de lepidopterología, Critical Care Medicine and The Journal of Urology.

In The Last Decade

Niyati Lobo

27 papers receiving 781 citations

Hit Papers

Epidemiology, Screening, ... 2022 2026 2023 2024 2022 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Niyati Lobo 415 210 147 132 116 28 786
K Fält 331 0.8× 105 0.5× 189 1.3× 61 0.5× 13 0.1× 43 744
Francisco Javier García‐Criado 233 0.6× 125 0.6× 61 0.4× 42 0.3× 27 0.2× 34 661
Chi-Hsun Hsieh 323 0.8× 144 0.7× 91 0.6× 27 0.2× 68 0.6× 31 821
Charles van Heyningen 280 0.7× 199 0.9× 279 1.9× 28 0.2× 19 0.2× 28 752
Dominik F. Draxler 118 0.3× 116 0.6× 80 0.5× 49 0.4× 10 0.1× 29 732
Pauline Yeung Ng 187 0.5× 252 1.2× 173 1.2× 229 1.7× 10 0.1× 49 848
Serge Grazioli 105 0.3× 263 1.3× 198 1.3× 14 0.1× 23 0.2× 27 671
Jerome Vernick 210 0.5× 89 0.4× 193 1.3× 55 0.4× 15 0.1× 34 676
Kyung-Hwan Jeong 163 0.4× 292 1.4× 75 0.5× 37 0.3× 13 0.1× 35 897
Uwe Göttmann 391 0.9× 119 0.6× 68 0.5× 18 0.1× 6 0.1× 30 813

Countries citing papers authored by Niyati Lobo

Since Specialization
Citations

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

Fields of papers citing papers by Niyati Lobo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niyati Lobo

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