Mohammad Arif

891 total citations
34 papers, 577 citations indexed

About

Mohammad Arif is a scholar working on Epidemiology, Hepatology and Infectious Diseases. According to data from OpenAlex, Mohammad Arif has authored 34 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Epidemiology, 14 papers in Hepatology and 12 papers in Infectious Diseases. Recurrent topics in Mohammad Arif's work include Hepatitis B Virus Studies (12 papers), Hepatitis C virus research (11 papers) and Liver Disease Diagnosis and Treatment (9 papers). Mohammad Arif is often cited by papers focused on Hepatitis B Virus Studies (12 papers), Hepatitis C virus research (11 papers) and Liver Disease Diagnosis and Treatment (9 papers). Mohammad Arif collaborates with scholars based in Saudi Arabia, Netherlands and India. Mohammad Arif's co-authors include S. Ramia, Faleh Z. Al-Faleh, Rashed S. Al-Rashed, E A Ayoola, Anuj Tiwari, Jan Hendrik Richardus, H. Bahakim, M. D. Yohannan, Mohammed Rezeig and Abdulmohsen Al-Swailem and has published in prestigious journals such as The Lancet, PLoS ONE and BJOG An International Journal of Obstetrics & Gynaecology.

In The Last Decade

Mohammad Arif

31 papers receiving 525 citations

Peers

Mohammad Arif
Comparison fields: 5 of 81
  • Epidemiology 410
  • Hepatology 388
  • Infectious Diseases 131
  • Surgery 45
  • Health 24
Farahnaz Fallahian Iran
Nancy Little United States
N. Tassopoulos Greece
D. Rey France
Cheryl Wannstedt United States
Zary Nokhodian Iran
Patrizia Künzler‐Heule Switzerland
G Gallo Italy
LaRee Tracy United States
Hisham O. Akbar Saudi Arabia
Farahnaz Fallahian Iran View profile →
Citations per field, relative to Mohammad Arif
Mohammad Arif · 1×
Citations per year, relative to Mohammad Arif
Mohammad Arif · 1×

Countries citing papers authored by Mohammad Arif

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Arif

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Arif

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Arif. A scholar is included among the top collaborators of Mohammad Arif 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 Mohammad Arif. Mohammad Arif 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
# Work Indexed citations
1 10
2 11
3 4
4
Challenges and strategy for achieving nationally determined contribution commitment of India
2
5 15
6
Prevalence of Enterobius vermicularis in children of district Mardan, Pakistan
4
7 3
8 26
9
Frequency and severity of insomnia in chronic low back pain
5
10 11
11
Incidence of Euproctis divica Walker in Central Himalayas.
1
12 10
13 34
14 26
15 82
16 4
17 3
18 5
19 21
20 8

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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