Nayan Lamba

3.1k citations
88 papers · 1.8k · 1 hit paper · h-index 23

Impact in

Papers in

Nayan Lamba

82 papers receiving 1.8k citations

Nayan Lamba's Hit Papers

Epidemiology of brain metastases and leptomeningeal disease 2021 · 203 citations
2030+1+3Years since publication50100150200

Peers

Nayan Lamba
Comparison fields: 5 of 115
  • Genetics 449
  • Pulmonary and Respiratory Medicine 826
  • Health Informatics 23
  • Radiation 133
  • Oncology 394
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Behrang Amini United States
Evan Luther United States
Lola B. Chambless United States
Robert Laing United Kingdom
Shuai Liu China
Frances McSherry United States
Arnoldo Piccardo Italy
Diego Cecchin Italy
Simon J. Hall United States
Tadamasa Yoshitake Japan
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Citations per field
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Citations per year

Countries citing papers authored by Nayan Lamba

Since Specialization
Citations

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

Fields of papers citing papers by Nayan Lamba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Epidemiology of brain metastases and leptomeningeal disease
Hit paper breakdown →
2021203
2 2019184
3 2020141
4 201591
5 201959
6 202057
7 201956
8 201755
9 201751
10 201850
11 201844
12 201840
13 201935
14 202033
15 202031
16 202031
17 202029
18 201929
19 201828
20 202228

About Nayan Lamba

Nayan Lamba is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Surgery, Genetics and Epidemiology, having authored 88 papers that have together received 1.8k indexed citations. Recurring topics across this work include Brain Metastases and Treatment (32 papers), Glioma Diagnosis and Treatment (25 papers), Lung Cancer Research Studies (18 papers), Meningioma and schwannoma management (16 papers), Pituitary Gland Disorders and Treatments (8 papers), Advanced Radiotherapy Techniques (6 papers), Prostate Cancer Treatment and Research (5 papers) and Head and Neck Surgical Oncology (5 papers). The work is most often cited by research in Genetics (449 citations), Pulmonary and Respiratory Medicine (826 citations), Health Informatics (23 citations), Radiation (133 citations) and Oncology (394 citations). Nayan Lamba has collaborated with scholars based in United States, Netherlands and Italy. Frequent co-authors include Ayal A. Aizer, Patrick Y. Wen, Timothy R. Smith, Marike L. D. Broekman, Rania A. Mekary, Paul J. Catalano, Danielle S. Bitterman, Katelyn M. Atkins, Anju Nohria and David Kozono. Their work appears in journals such as World Neurosurgery, Neuro-Oncology, International Journal of Radiation Oncology*Biology*Physics, Journal of Neuro-Oncology and Cancer.

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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