Madhur Garg

4.9k total citations · 1 hit paper
147 papers, 3.3k citations indexed

About

Madhur Garg is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Otorhinolaryngology. According to data from OpenAlex, Madhur Garg has authored 147 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Surgery, 54 papers in Pulmonary and Respiratory Medicine and 44 papers in Otorhinolaryngology. Recurrent topics in Madhur Garg's work include Head and Neck Cancer Studies (44 papers), Advanced Radiotherapy Techniques (33 papers) and Lung Cancer Diagnosis and Treatment (18 papers). Madhur Garg is often cited by papers focused on Head and Neck Cancer Studies (44 papers), Advanced Radiotherapy Techniques (33 papers) and Lung Cancer Diagnosis and Treatment (18 papers). Madhur Garg collaborates with scholars based in United States, India and South Africa. Madhur Garg's co-authors include Shalom Kalnicki, Chandan Guha, Nitin Ohri, Rafi Kabarriti, Richard V. Smith, Wolfgang A. Tomé, N. Patrik Brodin, Balázs Halmos, Andrew D. Racine and Ravindra Yaparpalvi and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Hepatology.

In The Last Decade

Madhur Garg

145 papers receiving 3.2k citations

Hit Papers

Case Fatality Rate of Cancer Patients with COVID-19 in a ... 2020 2026 2022 2024 2020 100 200 300 400 500

Peers

Madhur Garg
Comparison fields: 5 of 129
  • Oncology 1.1k
  • Pulmonary and Respiratory Medicine 1.1k
  • Surgery 918
  • Otorhinolaryngology 732
  • Radiation 684
Replace Shalom Kalnicki with:
Shalom Kalnicki United States
Nitin Ohri United States
Nam P. Nguyen United States
Surbhi Grover United States
Brittany L. Murphy United States
John Kim Canada
Rafi Kabarriti United States
Ketayun A. Dinshaw India
Sanjay Thulkar India
Michael Schaapveld Netherlands
Shalom Kalnicki United States View profile →
Citations per field, relative to Madhur Garg
Madhur Garg · 1×
Citations per year, relative to Madhur Garg
Madhur Garg · 1×

Countries citing papers authored by Madhur Garg

Since Specialization
Citations

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

Fields of papers citing papers by Madhur Garg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Madhur Garg

This figure shows the co-authorship network connecting the top 25 collaborators of Madhur Garg. A scholar is included among the top collaborators of Madhur 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 Madhur Garg. Madhur 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
# Work Indexed citations
1 5
2 1
3 9
4 21
5 4
6 11
7 5
8
Case Fatality Rate of Cancer Patients with COVID-19 in a New York Hospital System breakdown →
521
9 13
10 1
11 20
12 3
13 3
14 18
15 89
16 15
17 25
18 77
19 1
20 15

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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