Neelja Singhal

2.6k citations
69 papers · 1.9k indexed · 1 hit paper · h-index 16
Topics
Antibiotic Resistance in Bacteria (18 papers)Yersinia bacterium, plague, ectoparasites research (12 papers)Tuberculosis Research and Epidemiology (11 papers)
Partner nations
IndiaUnited StatesFrance

In The Last Decade

Neelja Singhal

67 papers receiving 1.8k citations

Hit Papers

MALDI-TOF mass spectrometry: an emerging technology for m...201520262018202220152505007501000

Peers

Neelja Singhal
Comparison fields: 5 of 128
  • Molecular Biology 701
  • Clinical Biochemistry 457
  • Epidemiology 369
  • Infectious Diseases 355
  • Molecular Medicine 297
Replace Luiz Gonzaga Paula de Almeida with:
Luiz Gonzaga Paula de Almeida Brazil
Kouji Kimura Japan
O. Chesneau France
Bahram Nasr Esfahani Iran
Keiko Yamada Japan
Bruno Pichon United Kingdom
Gerhard Haase Germany
Sean R. Connell Germany
Carlus Deneke Germany
Dennis Schrøder Hansen Denmark
Neelja Singhal relative to Luiz Gonzaga Paula de Almeida Brazil Luiz Gonzaga Paula de Almeida's profile →
Citations per field
00.5×6.3×
Luiz Gonzaga Paula de Almeida · 1×
Citations per year

Countries citing papers authored by Neelja Singhal

Since Specialization
Citations

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

Fields of papers citing papers by Neelja Singhal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neelja Singhal

This figure shows the co-authorship network connecting the top 25 collaborators of Neelja Singhal. A scholar is included among the top collaborators of Neelja Singhal 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 Neelja Singhal. Neelja Singhal 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 5
4 6
5 2
6 11
7 29
8 2
9 64
10 1
11 7
12 23
13 55
14 4
15 12
16 3
17 3
18 2
19 17
20
NEW DEVELOPMENTS OF WPAFB IN COMPUTERIZED SPECTRAL ANALYSIS AND ISOTOPE IDENTIFICATION.
1

About Neelja Singhal

Neelja Singhal is a scholar working on Molecular Medicine, Radiation and Infectious Diseases, having authored 69 papers that have together received 1.9k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (18 papers), Yersinia bacterium, plague, ectoparasites research (12 papers) and Tuberculosis Research and Epidemiology (11 papers). The work is most often cited by research in Clinical Biochemistry (457 citations), Molecular Medicine (297 citations) and Endocrinology (164 citations). Neelja Singhal has collaborated with scholars based in India, United States and France. Frequent co-authors include Manish Kumar, Jugsharan Singh Virdi, Pawan Kumar Kanaujia, Deepa Bisht, Prashant Sharma, Shilpa Mohanty, J. H. Hamilton, Vishwa Mohan Katoch, Krishnamurthy Venkatesan and Ravindra Kumar. Their work appears in journals such as Physical Review Letters, Nucleic Acids Research and Bioinformatics.

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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