Nayan Lamba

3.3k citations
89 papers · 2.0k · 1 hit paper · h-index 23

Impact in

Papers in

Nayan Lamba

84 papers receiving 1.9k citations

Nayan Lamba's Hit Papers

Epidemiology of brain metastases and leptomeningeal disease 2021 · 222 citations
2220+1+3Years since publication50100150200

Peers

Nayan Lamba
Comparison fields: 5 of 112
  • Genetics 258
  • Pulmonary and Respiratory Medicine 661
  • Health Informatics 19
  • Oncology 224
  • Endocrinology, Diabetes and Metabolism 134
Replace Diego Cecchin with:
Diego Cecchin Italy
Robert Laing United Kingdom
Bihong T. Chen United States
Simon J. Hall United States
Wenhui Huang China
Yvonne M. Mowery United States
Ali Choucair United States
Shuai Liu China
Sarah L. Kerns United States
Nayan Lamba relative to Diego Cecchin Italy Diego Cecchin's profile →
Citations per field
00.5×3.8×
Diego Cecchin · 1×
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 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Epidemiology of brain metastases and leptomeningeal disease
Hit paper breakdown →
2021222
2 2019196
3 2020155
4 201599
5 201968
6 202061
7 201759
8 201757
9 201957
10 201854
11 201848
12 201841
13 201937
14 202034
15 202033
16 202233
17 201931
18 202031
19 202031
20 201829

About Nayan Lamba

Nayan Lamba is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Genetics, Epidemiology and Oncology, having authored 89 papers that have together received 2.0k indexed citations. Recurring topics across this work include Brain Metastases and Treatment (26 papers), Glioma Diagnosis and Treatment (11 papers), Meningioma and schwannoma management (9 papers), Pituitary Gland Disorders and Treatments (5 papers), Prostate Cancer Diagnosis and Treatment (5 papers), Management of metastatic bone disease (3 papers), Lung Cancer Research Studies (3 papers) and Advanced Radiotherapy Techniques (3 papers). The work is most often cited by research in Genetics (258 citations), Pulmonary and Respiratory Medicine (661 citations), Health Informatics (19 citations), Oncology (224 citations) and Endocrinology, Diabetes and Metabolism (134 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, Udo Hoffmann, Bhupendra Rawal and Christopher L. Williams. 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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