Lubaba Khan

8 papers receiving 587 citations

Lubaba Khan's Hit Papers

TGF-β-associated extracellular matrix genes link cancer-associated fibroblasts to immune evasion and immunotherapy failure 2018 · 488 citations
4880+2+5Years since publication100200300400

Peers

Lubaba Khan
Comparison fields: 5 of 104
  • Oncology 284
  • Immunology 164
  • Cancer Research 68
  • Immunology and Allergy 15
  • Business and International Management 5
Replace Arnab Gupta with:
Arnab Gupta India
Tomiko Yamaguchi Japan
Jagdeep Singh India
Samia Nawaz United States
Kristen K. McCampbell United States
Eric G. Wright United Kingdom
Lili Li China
Maosen Xu China
Erika Márton Austria
Jeroen F. Vermeulen Netherlands
Lubaba Khan relative to Arnab Gupta India Arnab Gupta's profile →
Citations per field
00.5×2.6×
Arnab Gupta · 1×
Citations per year

Countries citing papers authored by Lubaba Khan

Since Specialization
Citations

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

Fields of papers citing papers by Lubaba Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Lubaba Khan, 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 Lubaba Khan Line = papers co-authored together Lubaba Khan links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
TGF-β-associated extracellular matrix genes link cancer-associated fibroblasts to immune evasion and immunotherapy failure
Hit paper breakdown →
2018488
2 202145
3 202142
4
Estimation of water loss from irrigated rice fields.
20098
5
ENVIRONMENTAL ASPECTS OF GROUNDWATER DEVELOPMENT IN BANGLADESH: AN OVERVIEW
19884
6 19914
7 19883
8 20232
9 19910
10 20250

About Lubaba Khan

Lubaba Khan is a scholar working on Sociology and Political Science, Economics and Econometrics, Education, Water Science and Technology and Gender Studies, having authored 10 papers that have together received 596 indexed citations. Recurring topics across this work include Child Development and Digital Technology (2 papers), Gender and Technology in Education (2 papers), COVID-19 Pandemic Impacts (2 papers), Psychological Well-being and Life Satisfaction (1 paper), Water resources management and optimization (1 paper), Ferroptosis and cancer prognosis (1 paper), Agricultural risk and resilience (1 paper) and Flood Risk Assessment and Management (1 paper). The work is most often cited by research in Oncology (284 citations), Immunology (164 citations), Cancer Research (68 citations), Immunology and Allergy (15 citations) and Business and International Management (5 citations). Lubaba Khan has collaborated with scholars based in Bangladesh, Australia and Canada. Frequent co-authors include Ankur Chakravarthy, Pinaki Bose, Taufiq-E-Ahmed Shovo, Md. Nazrul Islam, Nusrat Jahan, Md. Tanvir Hossain, Farid Uddin Ahmed, Abdullah Al Masud, S. M. Mahbubur Rahman and J. A. Mawdsley. Their work appears in journals such as Heliyon, Nature Communications, Hydrological Sciences Journal, International Journal of Water Resources Development and Aquaculture.

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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