M. N. Khaja

465 citations
17 papers · 357 indexed · h-index 10
Topics
Hepatitis B Virus Studies (7 papers)Hepatitis C virus research (7 papers)Liver Disease Diagnosis and Treatment (3 papers)
Journals
SHILAP Revista de lepidopterologíaAnalytical BiochemistryScientific Reports

In The Last Decade

M. N. Khaja

17 papers receiving 350 citations

Peers

M. N. Khaja
Comparison fields: 5 of 55
  • Hepatology 168
  • Molecular Biology 151
  • Surgery 115
  • Epidemiology 84
  • Cancer Research 68
Replace Guoxin Liang with:
Guoxin Liang China
M. Longuet France
Tamako Ikeda Japan
Stany Depraetere Belgium
Javier Larrache Spain
Eóin C. O’Brien Ireland
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Christine Herman United States
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Hyun Tak Jin South Korea
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Citations per field
00.5×4.3×
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Citations per year

Countries citing papers authored by M. N. Khaja

Since Specialization
Citations

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

Fields of papers citing papers by M. N. Khaja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. N. Khaja. 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 M. N. Khaja. The network helps show where M. N. Khaja may publish in the future.

Co-authorship network of co-authors of M. N. Khaja

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 9
2 19
3 16
4 6
5 15
6 5
7 79
8
Seroepidemiology of hepatitis A virus in Hyderabad, South India
5
9
Simultaneous detection of Hepatitis B virus and Hepatitis C virus in human plasma using Taq-man chemistry
2
10
Genotype analysis and assessment of antigenic sensitivity for recombinant HCV proteins by indigenous SIBA for detection of hepatitis C virus infection: a comparison with 3rd EIA and RT-PCR.
2
11 45
12 33
13 58
14 21
15 4
16
Hepatitis C virus: The Indian scenario
15
17 23

About M. N. Khaja

M. N. Khaja is a scholar working on Hepatology, Epidemiology and Virology, having authored 17 papers that have together received 357 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (7 papers), Hepatitis C virus research (7 papers) and Liver Disease Diagnosis and Treatment (3 papers). The work is most often cited by research in Hepatology (168 citations), Virology (28 citations) and Cancer Research (68 citations). M. N. Khaja has collaborated with scholars based in India, Germany and United States. Frequent co-authors include C M Habibullah, Madhavi Chandra, Shwetha Shivaprasad, Saumitra Das, N. Parveen, Aleem Ahmed Khan, Aejaz Habeeb, J. Venkateswarlu, A. Rajendraprasad and Ramakrishnan Ganesan. Their work appears in journals such as SHILAP Revista de lepidopterología, Analytical Biochemistry and Scientific Reports.

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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