Syma Khalid

7.3k citations
145 papers · 5.0k · h-index 42

Impact in

Papers in

    • Lipid Membrane Structure and Behavior 52
    • Protein Structure and Dynamics 36
    • RNA and protein synthesis mechanisms 23
    • Bacterial Genetics and Biotechnology 57

Syma Khalid

139 papers receiving 5.0k citations

Peers

Syma Khalid
Comparison fields: 5 of 143
  • Molecular Medicine 516
  • Microbiology 439
  • Molecular Biology 3.5k
  • Endocrinology 237
  • Genetics 950
Replace Peter J. Bond with:
Peter J. Bond Singapore
Gabriele Rummel Switzerland
F. Pattus France
Floyd E. Romesberg United States
Anthony J. Wilkinson United Kingdom
Miquel Coll Spain
Tilman Schirmer Switzerland
Jürg P. Rosenbusch 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-authors

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

Showing the 20 most-cited of 145 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006281
2 2011207
3 2008187
4 2012178
5 2002175
6 2015159
7 2018158
8 2017154
9 2008152
10 2020137
11 2018131
12 2015103
13 201297
14 201591
15 202190
16 201678
17 201776
18 201671
19 200867
20 201063

About Syma Khalid

Syma Khalid is a scholar working on Molecular Biology, Genetics, Ecology, Molecular Medicine and Biomedical Engineering, having authored 145 papers that have together received 5.0k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (57 papers), Lipid Membrane Structure and Behavior (52 papers), Protein Structure and Dynamics (36 papers), Bacteriophages and microbial interactions (30 papers), RNA and protein synthesis mechanisms (23 papers), Antibiotic Resistance in Bacteria (19 papers), Nanopore and Nanochannel Transport Studies (16 papers) and Antimicrobial Peptides and Activities (11 papers). The work is most often cited by research in Molecular Medicine (516 citations), Microbiology (439 citations), Molecular Biology (3.5k citations), Endocrinology (237 citations) and Genetics (950 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 The Journal of Physical Chemistry B.

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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