Eduard Ling

1.4k citations
31 papers · 572 · h-index 11

Impact in

    • Bacterial Infections and Vaccines
    • Immune Response and Inflammation
    • Complement system in diseases

Papers in

Eduard Ling

26 papers receiving 547 citations

Peers

Eduard Ling
Comparison fields: 5 of 83
  • Microbiology 113
  • Immunology 159
  • Epidemiology 196
  • Hematology 46
  • Endocrinology 20
Replace K Herrlinger with:
K Herrlinger Germany
Lani R. San Mateo United States
Giacomo Signorino Italy
Jesus A. Segovia United States
Paul J. Baker Australia
Ping Yu China
Songmin Ying China
Guangming Zhong United States
M. Lamine Mbow United States
Martine Soell France
Eduard Ling relative to K Herrlinger Germany K Herrlinger's profile →
Citations per field
00.5×1.5×
K Herrlinger · 1×
Citations per year

Countries citing papers authored by Eduard Ling

Since Specialization
Citations

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

Fields of papers citing papers by Eduard Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004166
2 200876
3 200641
4 201836
5 197336
6 200431
7 200331
8 201624
9 200621
10 200520
11 201611
12 201410
13
Detection of tumor mutant APC DNA in plasma of patients with sporadic colorectal cancer.
200010
14 200310
15 20189
16 20158
17 20167
18
Outcome of patients with rheumatoid arthritis: cross-sectional study of a single-center real-world inception cohort.
20135
19 20224
20 19764

About Eduard Ling

Eduard Ling is a scholar working on Epidemiology, Immunology, Surgery, Microbiology and Molecular Biology, having authored 31 papers that have together received 572 indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (7 papers), Bacterial Infections and Vaccines (7 papers), Autoimmune and Inflammatory Disorders Research (4 papers), Immune Response and Inflammation (4 papers), Genetic factors in colorectal cancer (3 papers), Colorectal Cancer Treatments and Studies (3 papers), Streptococcal Infections and Treatments (3 papers) and Kawasaki Disease and Coronary Complications (2 papers). The work is most often cited by research in Microbiology (113 citations), Immunology (159 citations), Epidemiology (196 citations), Hematology (46 citations) and Endocrinology (20 citations). Eduard Ling has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Ron Dagan, Maxim Portnoi, Karin Overweg, Jerry M. Wells, Vered Chalifa‐Caspi, Francis Mulholland, Noga Givon‐Lavi, Daniel Benharroch, Yaffa Mizrachi Nebenzahl and P. B. Neame. Their work appears in journals such as Anticancer Research, Clinical & Experimental Immunology, Lara D. Veeken, The Journal of Rheumatology and Nanoscale Advances.

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