Anuj Goyal

863 citations
46 papers · 496 · h-index 13

Impact in

Papers in

Anuj Goyal

42 papers receiving 484 citations

Peers

Anuj Goyal
Comparison fields: 5 of 105
  • Pulmonary and Respiratory Medicine 194
  • Obstetrics and Gynecology 43
  • Reproductive Medicine 34
  • Pediatrics, Perinatology and Child Health 64
  • Biochemistry 15
Replace Khalil Razvi with:
Khalil Razvi Singapore
Qun Lü China
Caibin Fan China
Charalampos Chrelias Greece
Prasoon P. Mohan United States
Jonathan Boone United States
Aditya Sharma India
Barbara De la Salle United Kingdom
Guorong Lyu China
Xiaowei Liu China
Anuj Goyal relative to Khalil Razvi Singapore Khalil Razvi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Anuj Goyal

Since Specialization
Citations

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

Fields of papers citing papers by Anuj Goyal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Anuj Goyal, 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 Anuj Goyal Line = papers co-authored together Anuj Goyal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200273
2 201351
3 201238
4 202031
5 200729
6 201928
7 200328
8 201227
9 201325
10 201117
11 201315
12 200614
13 200712
14 202412
15 200610
16 20178
17 20067
18 20077
19 20136
20 20146

About Anuj Goyal

Anuj Goyal is a scholar working on Pulmonary and Respiratory Medicine, Pediatrics, Perinatology and Child Health, Reproductive Medicine, Surgery and Artificial Intelligence, having authored 46 papers that have together received 496 indexed citations. Recurring topics across this work include Kidney Stones and Urolithiasis Treatments (9 papers), Sperm and Testicular Function (5 papers), Pediatric Urology and Nephrology Studies (4 papers), Speech and dialogue systems (3 papers), Topic Modeling (3 papers), Video Analysis and Summarization (2 papers), Renal and Vascular Pathologies (2 papers) and Groundwater and Watershed Analysis (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (194 citations), Obstetrics and Gynecology (43 citations), Reproductive Medicine (34 citations), Pediatrics, Perinatology and Child Health (64 citations) and Biochemistry (15 citations). Anuj Goyal has collaborated with scholars based in United Kingdom, India and United States. Frequent co-authors include Junaid Masood, Christian Bach, Bashir A. Lwaleed, Noor Buchholz, Alan Cooper, Angeliki Metallinou, Stefanos Kachrilas, Yijie Wang, Andrea I. Doseff and Clay B. Marsh. Their work appears in journals such as Journal of Personalized Medicine, British Journal of Urology, International Journal of Andrology, Journal of Endourology and Urology.

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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