Lada Rumora

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

Impact in

Papers in

Lada Rumora

71 papers receiving 1.4k citations

Peers

Lada Rumora
Comparison fields: 5 of 124
  • Clinical Biochemistry 142
  • Cancer Research 166
  • Plant Science 346
  • Biochemistry 67
  • Molecular Biology 579
Replace Heidar Tavilani with:
Heidar Tavilani Iran
Goran Poznanović Serbia
Ming Song China
Luca Giovannini Italy
S. Subramanian India
Francesco Vieceli Dalla Sega Italy
Shubha Priyamvada United States
Davorka Breljak Croatia
Yoshihisa Tomioka Japan
Lada Rumora relative to Heidar Tavilani Iran Heidar Tavilani's profile →
Citations per field
00.5×2.6×
Heidar Tavilani · 1×
Citations per year

Countries citing papers authored by Lada Rumora

Since Specialization
Citations

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

Fields of papers citing papers by Lada Rumora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Oxidative stress and cell death
2003165
2 2011108
3 2007106
4 201772
5 201468
6 201166
7 201844
8 200734
9 200234
10 200232
11 201932
12 202030
13 201825
14
Biochemistry of apoptotic cell death.
200324
15 202224
16 202022
17 202221
18 201021
19 202021
20 201621

About Lada Rumora

Lada Rumora is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Immunology, Plant Science and Clinical Biochemistry, having authored 75 papers that have together received 1.4k indexed citations. Recurring topics across this work include Chronic Obstructive Pulmonary Disease (COPD) Research (20 papers), Heat shock proteins research (14 papers), Mycotoxins in Agriculture and Food (9 papers), Paraoxonase enzyme and polymorphisms (6 papers), Inflammasome and immune disorders (6 papers), Vanadium and Halogenation Chemistry (5 papers), School Health and Nursing Education (4 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers). The work is most often cited by research in Clinical Biochemistry (142 citations), Cancer Research (166 citations), Plant Science (346 citations), Biochemistry (67 citations) and Molecular Biology (579 citations). Lada Rumora has collaborated with scholars based in Croatia, Canada and Germany. Frequent co-authors include Marija Grdić Rajković, Tihana Žanić‐Grubišić, József Petrik, Tihana Žanić Grubišić, Karmela Barišić, Maja Šegvić Klarić, Stjepan Pepeljnjak, Ivana Čepelak, Ana‐Marija Domijan and Sanja Popović‐Grle. Their work appears in journals such as Biochemia Medica, Clinical Biochemistry, Archives of Toxicology, Scientific Reports and Journal of Clinical Medicine.

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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