Molly Browne

739 citations
22 papers · 479 · h-index 13

Impact in

Papers in

    • Signaling Pathways in Disease 4
    • Viral Infectious Diseases and Gene Expression in Insects 3
    • Epigenetics and DNA Methylation 2
    • Protease and Inhibitor Mechanisms 7

Molly Browne

21 papers receiving 419 citations

Peers

Molly Browne
Comparison fields: 5 of 64
  • Cancer Research 147
  • Hematology 103
  • Immunology 121
  • Oncology 117
  • Biotechnology 35
Replace Michael S. Altus with:
Michael S. Altus Switzerland
Wendy Fang United States
Srimathi Srinivasan United States
Jeevisha Bajaj United States
Aiko Kitahara Japan
Jens Rüschmann Canada
Neng‐Hua Guo United States
Rashid Gabbasov United States
Thomas Cauvet Germany
Takeshi Terui Japan
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Citations per field
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Michael S. Altus · 1×
Citations per year

Countries citing papers authored by Molly Browne

Since Specialization
Citations

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

Fields of papers citing papers by Molly Browne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201794
2 198870
3 199649
4 197739
5 198629
6 201927
7 198527
8 197726
9 198521
10 201721
11 197814
12 199013
13 198913
14 202012
15 20207
16 19927
17 20244
18 19913
19 19711
20 19931

About Molly Browne

Molly Browne is a scholar working on Molecular Biology, Cancer Research, Hematology, Pulmonary and Respiratory Medicine and Oncology, having authored 22 papers that have together received 479 indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (7 papers), Blood Coagulation and Thrombosis Mechanisms (7 papers), Signaling Pathways in Disease (4 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Epigenetics and DNA Methylation (2 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Cancer Research (147 citations), Hematology (103 citations), Immunology (121 citations), Oncology (117 citations) and Biotechnology (35 citations). Molly Browne has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Roy H. Burdon, J.H. Robinson, Ian B. Dodd, C.G. Chapman, J.E. Carey, A. W. R. TYRRELL, B. Reavy, Ann Ager, Andrew Godkin and Awen Gallimore. Their work appears in journals such as FEBS Letters, Thrombosis and Haemostasis, Nucleic Acids Research, Cancer Immunology Research and Scientific Reports.

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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