Mohammad Qasim

1.3k citations
56 papers · 1.0k · h-index 16

Impact in

Papers in

Mohammad Qasim

52 papers receiving 1.0k citations

Peers

Mohammad Qasim
Comparison fields: 5 of 130
  • Global and Planetary Change 253
  • Biotechnology 73
  • Molecular Biology 516
  • Sociology and Political Science 213
  • Cell Biology 71
Replace Hua Cheng with:
Hua Cheng China
Joshua E. Goldford United States
Richard F. Wilson United States
Xiangyi Li China
Mark Crawford United Kingdom
Anne Simon Moffat Brazil
Rosanna A. Alegado United States
Xiaolei Wang China
Anthony M. Poole New Zealand
Mohammad Qasim relative to Hua Cheng China Hua Cheng's profile →
Citations per field
00.5×10×20×26.6×
Hua Cheng · 1×
Citations per year

Countries citing papers authored by Mohammad Qasim

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Qasim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mohammad Qasim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mohammad Qasim Line = papers co-authored together Mohammad Qasim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016165
2 1997140
3 2015134
4 199775
5 199757
6 199948
7 200334
8 199531
9 199530
10 200122
11 198621
12 201719
13 201617
14 200517
15 199916
16 198715
17 200014
18 197714
19 199913
20 200312

About Mohammad Qasim

Mohammad Qasim is a scholar working on Molecular Biology, Global and Planetary Change, Oncology, Nature and Landscape Conservation and Biotechnology, having authored 56 papers that have together received 1.0k indexed citations. Recurring topics across this work include Protein Interaction Studies and Fluorescence Analysis (10 papers), Biochemical and Structural Characterization (8 papers), Peptidase Inhibition and Analysis (8 papers), Enzyme Production and Characterization (8 papers), Forest ecology and management (7 papers), Enzyme Structure and Function (5 papers), Protein Structure and Dynamics (5 papers) and Remote Sensing in Agriculture (4 papers). The work is most often cited by research in Global and Planetary Change (253 citations), Biotechnology (73 citations), Molecular Biology (516 citations), Sociology and Political Science (213 citations) and Cell Biology (71 citations). Mohammad Qasim has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Amir Nawaz Khan, Said Qasim, Rajendra P. Shrestha, M. Laskowski, Saad Tayyab, Michael Laskowski, Nisar Ahmad, Muhammad Ashraf, Stephen K. Anderson and Wuyuan Lu. Their work appears in journals such as Biochemistry, The Journal of Biochemistry, Phytochemistry, Journal of Molecular Biology and World Applied Sciences Journal.

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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