Neha Bajwa

2.2k citations
67 papers · 1.3k indexed · 2 hit papers · h-index 13
Topics
Terahertz technology and applications (21 papers)Drug Solubulity and Delivery Systems (7 papers)Advanced Drug Delivery Systems (7 papers)

In The Last Decade

Neha Bajwa

64 papers receiving 1.3k citations

Hit Papers

Diagnostics for SARS-CoV-2 infections202120262022202420212025100200300400500

Peers

Neha Bajwa
Comparison fields: 5 of 139
  • Biomedical Engineering 474
  • Infectious Diseases 401
  • Molecular Biology 355
  • Electrical and Electronic Engineering 215
  • Radiology, Nuclear Medicine and Imaging 115
Replace Philip Gribbon with:
Philip Gribbon Germany
Sylvie Derclaye Belgium
Martin Riegler Austria
Lutz Lehmann Germany
Doris M. Haverstick United States
François Bécher France
Chien‐Sheng Chen Taiwan
Raja Chinnappan Saudi Arabia
О. И. Киселев Russia
Abdus Samad India
Neha Bajwa relative to Philip Gribbon Germany Philip Gribbon's profile →
Citations per field
00.5×9.3×
Philip Gribbon · 1×
Citations per year

Countries citing papers authored by Neha Bajwa

Since Specialization
Citations

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

Fields of papers citing papers by Neha Bajwa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neha Bajwa

This figure shows the co-authorship network connecting the top 25 collaborators of Neha Bajwa. A scholar is included among the top collaborators of Neha Bajwa 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 Neha Bajwa. Neha Bajwa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 1
3 1
4 12
5 10
6 1
7 6
8 21
9 5
10
Diagnostics for SARS-CoV-2 infectionsbreakdown →
585
11 4
12 20
13 1
14 38
15 58
16 96
17 12
18 80
19 0
20 4

About Neha Bajwa

Neha Bajwa is a scholar working on Pharmaceutical Science, Toxicology and Immunology and Allergy, having authored 67 papers that have together received 1.3k indexed citations. Recurring topics across this work include Terahertz technology and applications (21 papers), Drug Solubulity and Delivery Systems (7 papers) and Advanced Drug Delivery Systems (7 papers). The work is most often cited by research in Infectious Diseases (401 citations), Immunology and Allergy (71 citations) and Biomedical Engineering (474 citations). Neha Bajwa has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Preet Amol Singh, Bhavesh D. Kevadiya, Chamindie Punyadeera, Jonathan Herskovitz, St Patrick Reid, Mahmudul Hasan, Ahmed M. Senan, Benson Edagwa, Channabasavaiah B. Gurumurthy and Jatin Machhi. Their work appears in journals such as Nature Materials, PLoS ONE and Small.

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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