Syma Khalid

7.1k citations
139 papers · 4.7k indexed · h-index 41

Impact in

Papers in

Syma Khalid

135 papers receiving 4.7k citations

Peers

Syma Khalid
Comparison fields: 5 of 146
  • Molecular Medicine 517
  • Microbiology 421
  • Molecular Biology 3.4k
  • Endocrinology 233
  • Genetics 921
Replace Peter J. Bond with:
Peter J. Bond Singapore
Gabriele Rummel Switzerland
F. Pattus France
Anthony J. Wilkinson United Kingdom
Miquel Coll Spain
Floyd E. Romesberg United States
Jürg P. Rosenbusch Switzerland
Tilman Schirmer Switzerland
Michael C. Wiener United States
Colin Kleanthous United Kingdom
Syma Khalid relative to Peter J. Bond Singapore Peter J. Bond's profile →
Citations per field
00.5×1.5×1.9×
Peter J. Bond · 1×
Citations per year

Countries citing papers authored by Syma Khalid

Since Specialization
Citations

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

Fields of papers citing papers by Syma Khalid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Syma Khalid, 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 Syma Khalid Line = papers co-authored together Syma Khalid links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20240
4 202342
5 20231
6 20236
7 202212
8 202225
9 20226
10 20225
11 20211
12 202181
13 20203
14 202016
15 202057
16 201923
17 2018155
18 2008144
19
A comparative molecular dynamics simulation study of the TonB-Dependent transporters: FpvA, FhuA, FecA, FepA and BtuB
20071
20
BioSimGRID: Application to analysis of membrane protein simulations
20051

About Syma Khalid

Syma Khalid is a scholar working on Molecular Medicine, Microbiology, Genetics, Endocrinology and Molecular Biology, having authored 139 papers that have together received 4.7k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (55 papers), Lipid Membrane Structure and Behavior (49 papers), Protein Structure and Dynamics (35 papers), Bacteriophages and microbial interactions (30 papers), RNA and protein synthesis mechanisms (23 papers), Antibiotic Resistance in Bacteria (18 papers), Nanopore and Nanochannel Transport Studies (15 papers) and Antimicrobial Peptides and Activities (11 papers). The work is most often cited by research in Molecular Medicine (517 citations), Microbiology (421 citations), Molecular Biology (3.4k citations), Endocrinology (233 citations) and Genetics (921 citations). Syma Khalid has collaborated with scholars based in United Kingdom, United States and Singapore. Frequent co-authors include Thomas J. Piggot, Peter J. Bond, Mark S.P. Sansom, Damien Jefferies, Firdaus Samsudin, Daniel A. Holdbrook, Anthony Ivetac, Pin‐Chia Hsu, John Holyoake and Ángel Piñeiro. Their work appears in journals such as Biophysical Journal, Structure, Biochimica et Biophysica Acta (BBA) - Biomembranes, Nature Communications and Biochemistry.

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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