M. J. Iqbal

1.6k total citations
38 papers, 1.2k citations indexed

About

M. J. Iqbal is a scholar working on Plant Science, Pathology and Forensic Medicine and Endocrinology. According to data from OpenAlex, M. J. Iqbal has authored 38 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Plant Science, 7 papers in Pathology and Forensic Medicine and 5 papers in Endocrinology. Recurrent topics in M. J. Iqbal's work include Plant Virus Research Studies (10 papers), Legume Nitrogen Fixing Symbiosis (9 papers) and Nematode management and characterization studies (7 papers). M. J. Iqbal is often cited by papers focused on Plant Virus Research Studies (10 papers), Legume Nitrogen Fixing Symbiosis (9 papers) and Nematode management and characterization studies (7 papers). M. J. Iqbal collaborates with scholars based in United States, Pakistan and Germany. M. J. Iqbal's co-authors include David A. Lightfoot, Abdul Rauf Shakoori, Khalid Meksem, V. N. Njiti, William J. Banz, B Greenway, Rebecca Williams, P J Johnson, Amreen Mughal and My Abdelmajid Kassem and has published in prestigious journals such as PLoS ONE, PLANT PHYSIOLOGY and Frontiers in Plant Science.

In The Last Decade

M. J. Iqbal

36 papers receiving 1.1k citations

Peers

M. J. Iqbal

PFM

GENET

HTM

Lingling Zhao China

Biljana Todorović Serbia

Gina E. Fernandez United States

Qinghong Zhou China

Yifan Jiang China

Yong Zhou China

Lorenzo Borghi Switzerland

Yuzhe Li China

A. M. Abdelhamid Egypt

Lingling Zhao China

M. J. Iqbal

462 ×0.6

766 ×3.8

36 ×0.2

PFM

49 ×0.4

GENET

33 ×0.4

HTM

Citations per year, relative to M. J. Iqbal M. J. Iqbal (= 1×) peers Lingling Zhao

Countries citing papers authored by M. J. Iqbal

Since Specialization

Citations

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

Fields of papers citing papers by M. J. Iqbal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. J. Iqbal

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Iqbal, M. J., et al.. (2023). Sentinel plot surveillance of cotton leaf curl disease in Pakistan- a case study at the cultivated cotton-wild host plant interface. Virus Research. 333. 199144–199144. 3 indexed citations

Iqbal, M. J., Abdul Rauf Shakoori, & Bushra Muneer. (2023). Mutation Profiling of PI3K/AKT1/MTOR Pathway Genes in Breast Cancer Patients of Pakistan. Pakistan Journal of Zoology. 56(1).

Naqqash, Tahir, Kauser A. Malik, Asma Imran, et al.. (2022). Inoculation With Azospirillum spp. Acts as the Liming Source for Improving Growth and Nitrogen Use Efficiency of Potato. Frontiers in Plant Science. 13. 929114–929114. 21 indexed citations

Hanif, Muhammad Kashif, Kauser A. Malik, Sohail Hameed, et al.. (2020). Growth stimulatory effect of AHL producing Serratia spp. from potato on homologous and non-homologous host plants. Microbiological Research. 238. 126506–126506. 20 indexed citations

Iqbal, Yasir, et al.. (2018). PREVALENCE OF INADEQUATE LEVEL OF VITAMIN D IN PATIENTS PRESENTING WITH MUSCULOSKELETAL PAIN IN SWAT REGION. 7(1). 2 indexed citations

Muneer, Bushra, M. J. Iqbal, & Abdul Rauf Shakoori. (2016). Isolation, identification and cadmium processing of Pseudomonas aeruginosa (EP-Cd1) isolated from soil contaminated with electroplating industrial wastewater.. Pakistan Journal of Zoology. 48(5). 1495–1501. 8 indexed citations

Muneer, Bushra, M. J. Iqbal, & Abdul Rauf Shakoori. (2013). Tolerance and Biosorption of Mercury by Microbial Consortia: Potential Use in Bioremediation of Wastewater. Pakistan Journal of Zoology. 45(1). 247–254. 29 indexed citations

Muhammad, Sher, et al.. (2013). ELISA based screening of potato varieties/lines against potato viruses.. International journal of biology and biotechnology. 10(4). 645–650. 1 indexed citations

Kumar, Ajay, Kristin Simons, M. J. Iqbal, et al.. (2012). Physical mapping resources for large plant genomes: radiation hybrids for wheat D-genome progenitor Aegilops tauschii. BMC Genomics. 13(1). 597–597. 31 indexed citations

10.

Tiwari, Vijay, et al.. (2012). Endosperm Tolerance of Paternal Aneuploidy Allows Radiation Hybrid Mapping of the Wheat D-Genome and a Measure of γ Ray-Induced Chromosome Breaks. PLoS ONE. 7(11). e48815–e48815. 15 indexed citations

11.

Qazi, Javaria, Imran Amin, Shahid Mansoor, M. J. Iqbal, & R. W. Briddon. (2007). Contribution of the satellite encoded gene βC1 to cotton leaf curl disease symptoms. Virus Research. 128(1-2). 135–139. 84 indexed citations

12.

Ruben, Eliza A., Aziz Jamaï, V. N. Njiti, et al.. (2006). Genomic analysis of the rhg1 locus: candidate genes that underlie soybean resistance to the cyst nematode. Molecular Genetics and Genomics. 276(6). 503–516. 59 indexed citations

13.

Iqbal, M. J., et al.. (2006). Development of a pooled probe method for locating small gene families in a physical map of soybean using stress related paralogues and a BAC minimum tile path. Plant Methods. 2(1). 20–20. 7 indexed citations

14.

Iqbal, M. J., et al.. (2005). Root response to Fusarium solani f. sp . glycines: temporal accumulation of transcripts in partially resistant and susceptible soybean. Theoretical and Applied Genetics. 110(8). 1429–1438. 60 indexed citations

15.

Banz, William J., Jeremy Davis, Richard G. Peterson, & M. J. Iqbal. (2004). Gene Expression and Adiposity Are Modified by Soy Protein in Male Zucker Diabetic Fatty Rats. Obesity Research. 12(12). 1907–1913. 28 indexed citations

16.

Schrader, Andrea, M. J. Iqbal, & Karen L. Jones. (2003). Gene Expression in Cloned Bovine Fetal Liver. Cloning and Stem Cells. 5(1). 63–69. 7 indexed citations

17.

Grauke, L.J., M. J. Iqbal, Avutu S. Reddy, & Tommy E. Thompson. (2003). Developing Microsatellite DNA Markers in Pecan. Journal of the American Society for Horticultural Science. 128(3). 374–380.

18.

Jones, Karen L., S.S. King, & M. J. Iqbal. (2003). Endophyte‐infected tall fescue diet alters gene expression in heifer luteal tissue as revealed by interspecies microarray analysis. Molecular Reproduction and Development. 67(2). 154–161. 19 indexed citations

19.

Meksem, Khalid, V. N. Njiti, William J. Banz, et al.. (2001). Genomic Regions That Underlie Soybean Seed Isoflavone Content. BioMed Research International. 1(1). 38–44. 72 indexed citations

20.

Shakoori, Abdul Rauf, Amreen Mughal, & M. J. Iqbal. (1996). Effects of Sublethal Doses of Fenvalerate (A Synthetic Pyrethroid) Administered Continuously for Four Weeks on the Blood, Liver, and Muscles of a Freshwater Fish, Ctenopharyngodon idella. Bulletin of Environmental Contamination and Toxicology. 57(3). 487–494. 83 indexed citations

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.

Explore authors with similar magnitude of impact