Niyati Lobo

28 papers receiving 859 citations

Niyati Lobo's Hit Papers

Epidemiology, Screening, and Prevention of Bladder Cancer 2022 · 181 citations
1810+1+2Years since publication50100150

Peers

Niyati Lobo
Comparison fields: 5 of 74
  • Critical Care and Intensive Care Medicine 107
  • Developmental Neuroscience 81
  • Urology 61
  • Surgery 368
  • Obstetrics and Gynecology 43
Replace Yanan Li with:
Yanan Li China
Tobias Hilbert Germany
Myoung‐Ja Chung South Korea
Chang-Yi Lin Taiwan
J Varga Slovakia
Indranil Biswas United States
Guobin Wang China
Jessica Deree United States
Steve Kunkel United States
Junichi Aiboshi Japan
Niyati Lobo relative to Yanan Li China Yanan Li's profile →
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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-authors

The 25 scholars most cited alongside Niyati Lobo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Niyati Lobo Line = papers co-authored together Niyati Lobo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Epidemiology, Screening, and Prevention of Bladder Cancer
Hit paper breakdown →
2022181
2 2010140
3 2017127
4 2021111
5 201848
6 201642
7 202136
8 202235
9 201426
10 201325
11 201815
12 202114
13 202311
14 20179
15 20228
16 20227
17 20246
18 20255
19 20214
20 20164

About Niyati Lobo

Niyati Lobo is a scholar working on Surgery, Urology, Infectious Diseases, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 29 papers that have together received 868 indexed citations. Recurring topics across this work include Bladder and Urothelial Cancer Treatments (19 papers), Urinary and Genital Oncology Studies (7 papers), Urological Disorders and Treatments (3 papers), Epigenetics and DNA Methylation (2 papers), Ureteral procedures and complications (2 papers), Multiple and Secondary Primary Cancers (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper) and Vaccine Coverage and Hesitancy (1 paper). The work is most often cited by research in Critical Care and Intensive Care Medicine (107 citations), Developmental Neuroscience (81 citations), Urology (61 citations), Surgery (368 citations) and Obstetrics and Gynecology (43 citations). Niyati Lobo has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Ramesh Thurairaja, Muhammad Shamim Khan, Rajesh Nair, Daqing Ma, Ashish M. Kamat, Stephen B. Williams, Luca Afferi, Shilpa Gupta, Angela B. Smith and Yair Lotan. Their work appears in journals such as British Journal of Urology, European Urology Oncology, Nature Reviews Urology, The Journal of Urology and Urologic Oncology Seminars and Original Investigations.

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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