Neeraj Nischal

1.8k citations
71 papers · 590 indexed · h-index 10
Topics
Tuberculosis Research and Epidemiology (13 papers)Infectious Diseases and Tuberculosis (13 papers)COVID-19 Clinical Research Studies (11 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsJournal of General Internal Medicine

In The Last Decade

Neeraj Nischal

59 papers receiving 568 citations

Peers

Neeraj Nischal
Comparison fields: 5 of 96
  • Infectious Diseases 399
  • Epidemiology 209
  • Surgery 167
  • Neurology 69
  • Molecular Biology 55
Replace Sen Wang with:
Sen Wang China
Kristina L. Bajema United States
Volker Strenger Austria
Arefeh Babazadeh Iran
Wang-Da Liu Taiwan
Lolita Sasset Italy
Ana García‐Reyne Spain
Lucy Bell United Kingdom
Wei Li Adeline Koay United States
Georg Härter Germany
Neeraj Nischal relative to Sen Wang China Sen Wang's profile →
Citations per field
00.5×1.5×2.1×
Sen Wang · 1×
Citations per year

Countries citing papers authored by Neeraj Nischal

Since Specialization
Citations

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

Fields of papers citing papers by Neeraj Nischal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neeraj Nischal

This figure shows the co-authorship network connecting the top 25 collaborators of Neeraj Nischal. A scholar is included among the top collaborators of Neeraj Nischal 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 Neeraj Nischal. Neeraj Nischal 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 0
3 0
4 0
5 0
6 1
7 1
8 1
9 9
10 59
11 1
12 4
13 7
14 10
15 5
16 25
17 73
18 8
19 3
20 154

About Neeraj Nischal

Neeraj Nischal is a scholar working on Infectious Diseases, Critical Care and Intensive Care Medicine and Neurology, having authored 71 papers that have together received 590 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (13 papers), Infectious Diseases and Tuberculosis (13 papers) and COVID-19 Clinical Research Studies (11 papers). The work is most often cited by research in Infectious Diseases (399 citations), Epidemiology (209 citations) and Virology (24 citations). Neeraj Nischal has collaborated with scholars based in India, United States and Czechia. Frequent co-authors include Manish Soneja, Naveet Wig, Nitin Gupta, Kuldeep Singh Sachdeva, Surendra K. Sharma, Alladi Mohan, Achintya D. Singh, Rohit Sarin, Prathap Tharyan and Hannah Ryan. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of General Internal Medicine.

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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