Igor Makhlin

415 citations
18 papers · 247 · h-index 8

Impact in

Papers in

    • Cancer Treatment and Pharmacology 2
    • HER2/EGFR in Cancer Research 2
    • Cancer Immunotherapy and Biomarkers 2
    • Cancer-related Molecular Pathways 2
    • Advanced Breast Cancer Therapies 5
    • Lung Cancer Treatments and Mutations 2

Igor Makhlin

16 papers receiving 242 citations

Peers

Igor Makhlin
Comparison fields: 5 of 52
  • Genetics 51
  • Obstetrics and Gynecology 32
  • Cancer Research 51
  • Nephrology 23
  • Oncology 79
Replace Irene Chong with:
Irene Chong United Kingdom
Monica Onorati Italy
Alessandra Bologna Italy
Amy Guppy United Kingdom
Woon Sup Han South Korea
Craig Vargo United States
Nazir Jamal Canada
Alpaslan Özgün Türkiye
Raj Nagarkar India
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Citations per field
00.5×4.3×
Irene Chong · 1×
Citations per year

Countries citing papers authored by Igor Makhlin

Since Specialization
Citations

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

Fields of papers citing papers by Igor Makhlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201870
2 201937
3 201028
4 202327
5 202024
6 202313
7 202213
8 20248
9 20246
10 20236
11 20225
12 20214
13 20222
14 20242
15 20201
16 20211
17 20250
18 20240

About Igor Makhlin

Igor Makhlin is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Cancer Research, Genetics and Genetics, having authored 18 papers that have together received 247 indexed citations. Recurring topics across this work include Advanced Breast Cancer Therapies (5 papers), Breast Cancer Treatment Studies (3 papers), Cancer Treatment and Pharmacology (2 papers), HER2/EGFR in Cancer Research (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Cancer Genomics and Diagnostics (2 papers), Cancer-related Molecular Pathways (2 papers) and Lung Cancer Treatments and Mutations (2 papers). The work is most often cited by research in Genetics (51 citations), Obstetrics and Gynecology (32 citations), Cancer Research (51 citations), Nephrology (23 citations) and Oncology (79 citations). Igor Makhlin has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Kevin R. Fox, Karin J. Blakemore, Robert A. Brodsky, Evan M. Braunstein, Arthur J. Vaught, Xuan Yuan, Andrea C. Baines, C. John Sperati, Shruti Chaturvedi and Samuel A. Merrill. Their work appears in journals such as Journal of Clinical Oncology, Clinical Cancer Research, Journal of the American Heart Association, The Breast and Breast Cancer Research.

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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