Rohit Lal

2.3k citations
54 papers · 1.7k · h-index 19

Impact in

  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers
    • Lung Cancer Research Studies
    • Colorectal Cancer Treatments and Studies
    • Occupational and environmental lung diseases
    • Lung Cancer Treatments and Mutations
    • Pleural and Pulmonary Diseases

Papers in

Rohit Lal

52 papers receiving 1.6k citations

Peers

Rohit Lal
Comparison fields: 5 of 123
  • Oncology 548
  • Pulmonary and Respiratory Medicine 474
  • Cancer Research 196
  • Immunology 175
  • Molecular Biology 441
Replace José A. López-Martín with:
José A. López-Martín Spain
Tsutomu Iwasa Japan
Li Ren Kong China
Marco Rastrelli Italy
Guoping Wang China
Wen-Jen Hwu United States
H. Gabbert Germany
Andrew C. Birkeland United States
Wen‐Chiuan Tsai Taiwan
Rohit Lal relative to José A. López-Martín Spain José A. López-Martín's profile →
Citations per field
00.5×1.5×
José A. López-Martín · 1×
Citations per year

Countries citing papers authored by Rohit Lal

Since Specialization
Citations

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

Fields of papers citing papers by Rohit Lal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016317
2 2015202
3 2012136
4 2012119
5 2015116
6 201167
7 201666
8 201063
9 201362
10 201457
11 200556
12 201342
13 200441
14 201830
15 201827
16
Reovirus: Rationale and clinical trial update.
200926
17 201521
18 201219
19 202319
20 201216

About Rohit Lal

Rohit Lal is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Computer Vision and Pattern Recognition, Cancer Research and Molecular Biology, having authored 54 papers that have together received 1.7k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (16 papers), Lung Cancer Research Studies (5 papers), Lung Cancer Diagnosis and Treatment (5 papers), Domain Adaptation and Few-Shot Learning (4 papers), Human Pose and Action Recognition (3 papers), Myasthenia Gravis and Thymoma (3 papers), Colorectal Cancer Treatments and Studies (3 papers) and Multimodal Machine Learning Applications (3 papers). The work is most often cited by research in Oncology (548 citations), Pulmonary and Respiratory Medicine (474 citations), Cancer Research (196 citations), Immunology (175 citations) and Molecular Biology (441 citations). Rohit Lal has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Yvonne Summers, Carla Visseren‐Grul, D. Ferry, J. Cadranel, Mayukh Das, Daniel C. Christoph, T. Benepal, Fiona Maxwell, D. A. Fennell and James Spicer. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, Journal of Thoracic Oncology, Lung Cancer and European Journal of 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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