László Jakab

1.8k citations
82 papers · 1.4k · h-index 21

Impact in

  • Genetics top 5%
    • Coagulation, Bradykinin, Polyphosphates, and Angioedema
    • Systemic Lupus Erythematosus Research

Papers in

László Jakab

78 papers receiving 1.3k citations

Peers

László Jakab
Comparison fields: 5 of 144
  • Genetics 222
  • Rheumatology 170
  • Nephrology 69
  • Immunology 188
  • Hematology 72
Replace Xindong Liu with:
Xindong Liu China
Kurt Lange Germany
Zhenyu Ma China
Xiaowen Liang United States
Guoshun Wang United States
Se‐Jong Kim South Korea
Osamu Hirose Japan
Masakazu Tanaka Japan
Xiaojun Xia China
Hongtao Li China
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Citations per field
00.5×3.5×
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Citations per year

Countries citing papers authored by László Jakab

Since Specialization
Citations

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

Fields of papers citing papers by László Jakab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007101
2 201788
3 200065
4 201263
5
High levels of antibodies against Clq are associated with disease activity and nephritis but not with other organ manifestations in SLE patients.
200262
6 199560
7 199553
8 202052
9 201247
10 200644
11 201042
12 200540
13 201340
14 201539
15 201438
16 200138
17 200937
18 200732
19 200730
20 200025

About László Jakab

László Jakab is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Immunology, Mechanical Engineering and Molecular Biology, having authored 82 papers that have together received 1.4k indexed citations. Recurring topics across this work include Optical and Acousto-Optic Technologies (16 papers), Photonic and Optical Devices (14 papers), Electronic Packaging and Soldering Technologies (10 papers), Photorefractive and Nonlinear Optics (6 papers), Systemic Lupus Erythematosus Research (6 papers), Mycotoxins in Agriculture and Food (5 papers), 3D IC and TSV technologies (5 papers) and Advanced Photonic Communication Systems (5 papers). The work is most often cited by research in Genetics (222 citations), Rheumatology (170 citations), Nephrology (69 citations), Immunology (188 citations) and Hematology (72 citations). László Jakab has collaborated with scholars based in Hungary, Germany and Czechia. Frequent co-authors include Olivér Krammer, Lilian Varga, George Füst, B. Fekete, Bálint Medgyes, Henriette Farkas, István Karádi, Péter Richter, Z. Papp and T Pozsonyi. Their work appears in journals such as Optics Communications, Acta Neurologica Scandinavica, Veterinary Record, Applied Physics B and Food Additives & Contaminants.

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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