Max Parmar

658 citations
20 papers · 366 · h-index 9

Impact in

Papers in

Max Parmar

20 papers receiving 357 citations

Peers

Max Parmar
Comparison fields: 5 of 61
  • Pulmonary and Respiratory Medicine 139
  • Reproductive Medicine 36
  • Oncology 97
  • Cancer Research 52
  • Statistics and Probability 31
Replace Sally Worsley with:
Sally Worsley United Kingdom
A Stone United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Max Parmar

Since Specialization
Citations

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

Fields of papers citing papers by Max Parmar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1
Chemotherapy in addition to supportive care improves survival in advanced non-small-cell lung cancer: A systematic review and meta-analysis of individual patient data from 16 randomized controlled trials - NSCLC meta-analyses collaborative group
2008168
2 200938
3 200334
4 202025
5 201816
6 201414
7 201512
8 201511
9 20208
10 20218
11 20177
12 20215
13 20235
14 20234
15 20223
16 20153
17 19972
18 20221
19 20071
20
Cancer Drugs Fund requires further reform : Reliance on “real world” observational data undermines evidence base for clinical practice
20161

About Max Parmar

Max Parmar is a scholar working on Pulmonary and Respiratory Medicine, Reproductive Medicine, Oncology, Radiology, Nuclear Medicine and Imaging and Cancer Research, having authored 20 papers that have together received 366 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (9 papers), Cancer, Lipids, and Metabolism (3 papers), Ovarian cancer diagnosis and treatment (3 papers), Radiopharmaceutical Chemistry and Applications (3 papers), Hormonal and reproductive studies (2 papers), Lung Cancer Treatments and Mutations (2 papers), Prostate Cancer Diagnosis and Treatment (2 papers) and Lung Cancer Diagnosis and Treatment (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (139 citations), Reproductive Medicine (36 citations), Oncology (97 citations), Cancer Research (52 citations) and Statistics and Probability (31 citations). Max Parmar has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include RJ Stephens, Sarah Burdett, A. Aupérin, R L Souhami, Jan P. van Meerbeeck, Jean‐Pierre Pignon, T. Le Chevalier, R. Arriagada, D. Johnson and Lesley Stewart. Their work appears in journals such as Annals of Oncology, European Journal of Cancer, Journal of Clinical Oncology, Journal of Statistical Computation and Simulation and BMC Public Health.

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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