Ekta Lachmandas

3.4k citations
15 papers · 1.7k indexed · 2 hit papers · h-index 14
Topics
Tuberculosis Research and Epidemiology (8 papers)Immunodeficiency and Autoimmune Disorders (5 papers)Immune responses and vaccinations (4 papers)

In The Last Decade

Ekta Lachmandas

15 papers receiving 1.7k citations

Hit Papers

Immunometabolic Pathways in BCG-Induced Trained Immunity201620262019202220162016100200300400

Peers

Ekta Lachmandas
Comparison fields: 5 of 95
  • Immunology 1.1k
  • Molecular Biology 527
  • Infectious Diseases 513
  • Epidemiology 465
  • Genetics 190
Replace Rahul Vijay with:
Rahul Vijay United States
Eduardo P. Amaral Brazil
Naeem K. Patil United States
Evan P. Williams United States
Rasmus Møller United States
W. Conrad Liles Canada
Julia K. Bohannon United States
Kohei Oishi United States
Christine Korteweg China
Sebastian Schulz Germany
Ekta Lachmandas relative to Rahul Vijay United States Rahul Vijay's profile →
Citations per field
00.5×3.1×
Rahul Vijay · 1×
Citations per year

Countries citing papers authored by Ekta Lachmandas

Since Specialization
Citations

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

Fields of papers citing papers by Ekta Lachmandas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ekta Lachmandas

This figure shows the co-authorship network connecting the top 25 collaborators of Ekta Lachmandas. A scholar is included among the top collaborators of Ekta Lachmandas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ekta Lachmandas. Ekta Lachmandas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 76
2 37
3 37
4 6
5 23
6 70
7
Immunometabolic Pathways in BCG-Induced Trained Immunitybreakdown →
476
8 41
9
Broad defects in the energy metabolism of leukocytes underlie immunoparalysis in sepsisbreakdown →
438
10 243
11 107
12 25
13 41
14 75
15 45

About Ekta Lachmandas

Ekta Lachmandas is a scholar working on Infectious Diseases, Immunology and Parasitology, having authored 15 papers that have together received 1.7k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (8 papers), Immunodeficiency and Autoimmune Disorders (5 papers) and Immune responses and vaccinations (4 papers). The work is most often cited by research in Immunology (1.1k citations), Infectious Diseases (513 citations) and Obstetrics and Gynecology (113 citations). Ekta Lachmandas has collaborated with scholars based in Netherlands, United States and Romania. Frequent co-authors include Mihai G. Netea, Leo A. B. Joosten, Reinout van Crevel, Rob J.W. Arts, Marije Oosting, Johanneke Kleinnijenhuis, Mark S. Gresnigt, Lily Boutens, Rinke Stienstra and Carla Palma. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Immunology and PLoS ONE.

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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