Mohammed Latif

1.8k total citations · 1 hit paper
7 papers, 1.4k citations indexed

About

Mohammed Latif is a scholar working on Infectious Diseases, Epidemiology and Immunology. According to data from OpenAlex, Mohammed Latif has authored 7 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 4 papers in Epidemiology and 3 papers in Immunology. Recurrent topics in Mohammed Latif's work include Tuberculosis Research and Epidemiology (4 papers), Mycobacterium research and diagnosis (3 papers) and Immunodeficiency and Autoimmune Disorders (2 papers). Mohammed Latif is often cited by papers focused on Tuberculosis Research and Epidemiology (4 papers), Mycobacterium research and diagnosis (3 papers) and Immunodeficiency and Autoimmune Disorders (2 papers). Mohammed Latif collaborates with scholars based in United Kingdom, Malaysia and United States. Mohammed Latif's co-authors include Ajit Lalvani, Geoffrey Pasvol, Robert J. Wilkinson, Ansar A. Pathan, Adrian V. S. Hill, Martin Llewelyn, Zahra Toossi, Robert N. Davidson, Dennis J. Wright and Helen McShane and has published in prestigious journals such as The Lancet, American Journal of Respiratory and Critical Care Medicine and European Journal of Immunology.

In The Last Decade

Mohammed Latif

5 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Influence of vitamin D deficiency and vitamin D receptor polymorphisms on tuberculosis among Gujarati Asians in west London: a case-control study

2000 590 citations Robert J. Wilkinson, Martin Llewelyn et al. The Lancet profile →

Peers

Mohammed Latif

ID

EPIDE

SURGE

PFM

IMMUN

Ghaffar Dawood Pakistan

Heather Milburn United Kingdom

H Wenzl Austria

Ulla Hohenthal Finland

Innocent T. Gangaidzo Zimbabwe

Johan van den Bogaerde United Kingdom

Peter A. Krasilnikoff Denmark

Jorge Rakela United States

Kazuo Shiraki Japan

Kianoosh Katchar United States

Ghaffar Dawood Pakistan

Mohammed Latif

616 ×0.7

ID

467 ×0.6

EPIDE

259 ×0.6

SURGE

127 ×0.4

PFM

262 ×0.9

IMMUN

Citations per year, relative to Mohammed Latif Mohammed Latif (= 1×) peers Ghaffar Dawood

Countries citing papers authored by Mohammed Latif

Since Specialization

Citations

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

Fields of papers citing papers by Mohammed Latif

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammed Latif

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed Latif. A scholar is included among the top collaborators of Mohammed Latif 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 Mohammed Latif. Mohammed Latif 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:

7 of 7 papers shown

1.

Latif, Mohammed, et al.. (2019). Haematological parameters of Malaysian junior athletes during an out of competition season. Science & Sports. 35(4). e99–e108.

2.

Latif, Mohammed, et al.. (2018). The steroid profile of Malaysian junior athletes during an out of competition season. Science & Sports. 34(1). 52–55.

3.

Penn, Julia, Xiang Li, Andrew Whiting, et al.. (2005). Heterologous production of daptomycin in Streptomyces lividans. Journal of Industrial Microbiology & Biotechnology. 33(2). 121–128. 62 indexed citations

4.

Lalvani, Ajit, Ansar A. Pathan, Helen McShane, et al.. (2001). Rapid Detection of Mycobacterium tuberculosis Infection by Enumeration of Antigen-specific T Cells. American Journal of Respiratory and Critical Care Medicine. 163(4). 824–828. 346 indexed citations

5.

Lalvani, Ajit, Ansar A. Pathan, Katalin A. Wilkinson, et al.. (2001). Enhanced contact tracing and spatial tracking of Mycobacterium tuberculosis infection by enumeration of antigen-specific T cells. The Lancet. 357(9273). 2017–2021. 310 indexed citations

6.

Wilkinson, Robert J., Martin Llewelyn, Zahra Toossi, et al.. (2000). Influence of vitamin D deficiency and vitamin D receptor polymorphisms on tuberculosis among Gujarati Asians in west London: a case-control study. The Lancet. 355(9204). 618–621. 590 indexed citations breakdown →

7.

Pathan, Ansar A., Katalin A. Wilkinson, Robert J. Wilkinson, et al.. (2000). High frequencies of circulating IFN-γ-secreting CD8 cytotoxic T cells specific for a novel MHC class I-restrictedMycobacterium tuberculosis epitope inM. tuberculosis-infected subjects without disease. European Journal of Immunology. 30(9). 2713–2721. 77 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.

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