Rajeev Goyal

22 papers receiving 298 citations

Peers

Rajeev Goyal
Comparison fields: 5 of 79
  • Molecular Medicine 70
  • Applied Microbiology and Biotechnology 13
  • Endocrinology 22
  • Microbiology 25
  • Periodontics 16
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Romain Lotte France
Solmaz Ohadian Moghadam Iran
E. D. Anastassiou Greece
Hwee Mian Sharon Goh Australia
Lütfiye Öksüz Türkiye
Sabine Gröger Germany
Gabriela Salvadori Norway
Jason Tasse France
Shyh-Ren Chiang Taiwan
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Citations per year

Countries citing papers authored by Rajeev Goyal

Since Specialization
Citations

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

Fields of papers citing papers by Rajeev Goyal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012103
2 202139
3 201227
4 202421
5
Phenotypic characteristics of clinical isolates of Klebsiella pneumoniae & evaluation of available phenotypic techniques for detection of extended spectrum beta-lactamases.
200518
6 201918
7 200615
8 202014
9 201210
10 20079
11 20258
12 20165
13 20135
14 20135
15 20125
16 20234
17 20233
18 20132
19
Indian agriculture and rural development under five year plans: an appraisal.
20151
20 20231

About Rajeev Goyal

Rajeev Goyal is a scholar working on Oncology, Epidemiology, Reproductive Medicine, Infectious Diseases and Dermatology, having authored 27 papers that have together received 317 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Eosinophilic Disorders and Syndromes (1 paper), Fungal Infections and Studies (1 paper), Cancer Genomics and Diagnostics (1 paper), Tuberous Sclerosis Complex Research (1 paper), Tuberculosis Research and Epidemiology (1 paper) and Viral gastroenteritis research and epidemiology (1 paper). The work is most often cited by research in Molecular Medicine (70 citations), Applied Microbiology and Biotechnology (13 citations), Endocrinology (22 citations), Microbiology (25 citations) and Periodontics (16 citations). Rajeev Goyal has collaborated with scholars based in India and United States. Frequent co-authors include Monil Singhai, Mohd Shahid, Abida Malik, Vinita Rawat, Geeta Mehta, Sujeet Kumar Singh, Manju Bala, Sonal Thukral, Neetu Singh and Ajay Kumar. Their work appears in journals such as International Journal of Gynecological Cancer, Frontiers in Molecular Biosciences, Clinical Anatomy, Journal of Cosmetic Dermatology and International Journal of Computational Intelligence Systems.

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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