B. V. Nikonenko

2.3k citations
55 papers · 1.9k · h-index 23

Impact in

    • Tuberculosis Research and Epidemiology
    • Mycobacterium research and diagnosis
    • Pneumocystis jirovecii pneumonia detection and treatment

Papers in

B. V. Nikonenko

50 papers receiving 1.8k citations

Peers

B. V. Nikonenko
Comparison fields: 5 of 92
  • Infectious Diseases 1.2k
  • Epidemiology 783
  • Immunology 323
  • Molecular Medicine 68
  • Organic Chemistry 364
Replace Cynthia S. Dowd with:
Cynthia S. Dowd United States
Leo Einck United States
Hyungjin Eoh United States
Íñigo Angulo‐Barturen Spain
T. R. Garbe United Kingdom
Martin Gengenbacher United States
Lluís Ballell Spain
Héctor R. Morbidoni Argentina
Patricia Constant France
Serena Massari Italy
B. V. Nikonenko relative to Cynthia S. Dowd United States Cynthia S. Dowd's profile →
Citations per field
00.5×2.6×
Cynthia S. Dowd · 1×
Citations per year

Countries citing papers authored by B. V. Nikonenko

Since Specialization
Citations

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

Fields of papers citing papers by B. V. Nikonenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by B. V. Nikonenko. 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 B. V. Nikonenko. The network helps show where B. V. Nikonenko may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005309
2 2004192
3 2007118
4 1997111
5 200699
6 201592
7 200282
8 199973
9 200069
10 200057
11 200055
12 201155
13 200454
14 200953
15 199351
16 200743
17 201340
18 199636
19 199836
20 201236

About B. V. Nikonenko

B. V. Nikonenko is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Immunology and Organic Chemistry, having authored 55 papers that have together received 1.9k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (39 papers), Mycobacterium research and diagnosis (24 papers), Cancer therapeutics and mechanisms (10 papers), Immunodeficiency and Autoimmune Disorders (5 papers), Immune responses and vaccinations (4 papers), Gut microbiota and health (4 papers), Synthesis and biological activity (4 papers) and Cytokine Signaling Pathways and Interactions (4 papers). The work is most often cited by research in Infectious Diseases (1.2k citations), Epidemiology (783 citations), Immunology (323 citations), Molecular Medicine (68 citations) and Organic Chemistry (364 citations). B. V. Nikonenko has collaborated with scholars based in Russia, United States and Canada. Frequent co-authors include Marina Protopopova, Carol A. Nacy, Leo Einck, Alexander Apt, Colleen F. Hanrahan, Ping Chen, Elena Bogatcheva, Catharina Lavebratt, Vladimir Yeremeev and Erwin Schurr. Their work appears in journals such as Tuberculosis, Antimicrobial Agents and Chemotherapy, Infection and Immunity, Clinical & Experimental Immunology and Journal of Antimicrobial Chemotherapy.

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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