Harshit Garg

1.8k citations
52 papers · 689 indexed · 1 hit paper · h-index 14
Topics
Prostate Cancer Diagnosis and Treatment (8 papers)Renal cell carcinoma treatment (7 papers)Bladder and Urothelial Cancer Treatments (7 papers)
Journals
Journal of Clinical OncologySHILAP Revista de lepidopterologíaPLoS ONE

In The Last Decade

Harshit Garg

45 papers receiving 673 citations

Hit Papers

FDA-Approved Artificial Intelligence and Machine Learning...2024202620252024255075100

Peers

Harshit Garg
Comparison fields: 5 of 129
  • Surgery 177
  • Epidemiology 133
  • Molecular Biology 120
  • Pulmonary and Respiratory Medicine 109
  • Endocrinology, Diabetes and Metabolism 63
Replace Fajin Dong with:
Fajin Dong China
Ge-Ge Wu China
Eun Hyo Jin South Korea
Kiyotaka Hoshinaga Japan
Theresa Thai United States
Muhammad Naeem Pakistan
Youbin Deng China
Boris Jansen‐Winkeln Germany
Xiaomei Huang China
J. Kenneth Tay United States
Harshit Garg relative to Fajin Dong China Fajin Dong's profile →
Citations per field
00.5×3.3×
Fajin Dong · 1×
Citations per year

Countries citing papers authored by Harshit Garg

Since Specialization
Citations

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

Fields of papers citing papers by Harshit Garg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harshit Garg

This figure shows the co-authorship network connecting the top 25 collaborators of Harshit Garg. A scholar is included among the top collaborators of Harshit Garg 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 Harshit Garg. Harshit Garg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 6
3 2
4 0
5 3
6 7
7 2
8 6
9 10
10 0
11 2
12 53
13 1
14 13
15 1
16 5
17 7
18 20
19 9
20 49

About Harshit Garg

Harshit Garg is a scholar working on Health Informatics, Urology and Internal Medicine, having authored 52 papers that have together received 689 indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (8 papers), Renal cell carcinoma treatment (7 papers) and Bladder and Urothelial Cancer Treatments (7 papers). The work is most often cited by research in Health Informatics (55 citations), Hepatology (61 citations) and Reproductive Medicine (63 citations). Harshit Garg has collaborated with scholars based in India, United States and Malaysia. Frequent co-authors include Rajeev Kumar, Sandeep Aggarwal, Samagra Agarwal, Aditi Jain, Lokesh Agarwal, S. Shalimar, Rajni Yadav, Siddhartha Datta Gupta, Amlesh Seth and Senthilkumar Mohan. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

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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