Noha Lim

8.5k citations
33 papers · 906 · h-index 16

Impact in

  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses

Papers in

Noha Lim

32 papers receiving 889 citations

Peers

Noha Lim
Comparison fields: 5 of 99
  • Immunology 305
  • Immunology and Allergy 48
  • Transplantation 21
  • Pathology and Forensic Medicine 127
  • Genetics 61
Replace Elisabeth Livingstone with:
Elisabeth Livingstone Germany
Ali R. Afzal United Kingdom
Takako Morita Japan
Piotr Donizy Poland
Changqing Ma United States
Katherine Chung United States
Preeti Lal United States
Friedrich Feuerhake Germany
Fabian Model Switzerland
Manjunath Kustagi United States
Noha Lim relative to Elisabeth Livingstone Germany Elisabeth Livingstone's profile →
Citations per field
00.5×1.6×
Elisabeth Livingstone · 1×
Citations per year

Countries citing papers authored by Noha Lim

Since Specialization
Citations

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

Fields of papers citing papers by Noha Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014195
2 2015120
3 200993
4 200779
5 201764
6 201145
7 201539
8 201937
9 201427
10 201722
11 201721
12 202219
13 201719
14 202119
15 202218
16 200915
17 201811
18 201710
19 20209
20 20179

About Noha Lim

Noha Lim is a scholar working on Immunology, Pulmonary and Respiratory Medicine, Molecular Biology, Pathology and Forensic Medicine and Genetics, having authored 33 papers that have together received 906 indexed citations. Recurring topics across this work include Vasculitis and related conditions (6 papers), T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (4 papers), Diabetes and associated disorders (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Food Allergy and Anaphylaxis Research (3 papers), Gene expression and cancer classification (2 papers) and Polyomavirus and related diseases (2 papers). The work is most often cited by research in Immunology (305 citations), Immunology and Allergy (48 citations), Transplantation (21 citations), Pathology and Forensic Medicine (127 citations) and Genetics (61 citations). Noha Lim has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Deborah Phippard, Laurence A. Turka, Paolo A. Muraro, Richard A. Nash, Linda M. Griffith, Harlan Robins, Kristina M. Harris, Cindy Desmarais, Michael Howell and Sachin Malhotra. Their work appears in journals such as Arthritis & Rheumatology, American Journal of Transplantation, JCI Insight, Annals of the Rheumatic Diseases and Nature Communications.

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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