Meghan Campo

14 total papers · 775 total citations
9 papers, 488 citations indexed

About

Meghan Campo is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Infectious Diseases. According to data from OpenAlex, Meghan Campo has authored 9 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pulmonary and Respiratory Medicine, 4 papers in Oncology and 3 papers in Infectious Diseases. Recurrent topics in Meghan Campo's work include Lung Cancer Treatments and Mutations (5 papers), Autoimmune and Inflammatory Disorders Research (3 papers) and Parvovirus B19 Infection Studies (3 papers). Meghan Campo is often cited by papers focused on Lung Cancer Treatments and Mutations (5 papers), Autoimmune and Inflammatory Disorders Research (3 papers) and Parvovirus B19 Infection Studies (3 papers). Meghan Campo collaborates with scholars based in United States and Israel. Meghan Campo's co-authors include Justin F. Gainor, Nancy Berliner, Lecia V. Sequist, Alice T. Shaw, Jon Arnason, Jeffrey A. Engelman, Daniel Gorovets, Ann Mullally, Alison M. Schram and Jennifer S. Temel and has published in prestigious journals such as Blood, British Journal of Haematology and The Oncologist.

In The Last Decade

Meghan Campo

9 papers receiving 484 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Meghan Campo	271	234	170	148	113	9	488
Jing Yao Leong	130 0.5×	67 0.3×	294 1.7×	72 0.5×	40 0.4×	18	491
Karl G. Blume	175 0.6×	61 0.3×	132 0.8×	371 2.5×	34 0.3×	9	545
H Dazzi	166 0.6×	193 0.8×	71 0.4×	76 0.5×	11 0.1×	18	427
William Pierce	300 1.1×	295 1.3×	147 0.9×	45 0.3×	16 0.1×	17	549
Victoria K. Woodcock	328 1.2×	43 0.2×	231 1.4×	51 0.3×	43 0.4×	19	536
Eun Bong Lee	64 0.2×	76 0.3×	151 0.9×	59 0.4×	56 0.5×	14	506
Naoko Yoshio‐Hoshino	114 0.4×	137 0.6×	155 0.9×	113 0.8×	8 0.1×	9	433
Shuzi Owens	178 0.7×	152 0.6×	113 0.7×	93 0.6×	12 0.1×	14	496
Friederike Braig	318 1.2×	88 0.4×	83 0.5×	28 0.2×	50 0.4×	10	534
G. S. Nowakowski	201 0.7×	99 0.4×	89 0.5×	66 0.4×	19 0.2×	9	426

Countries citing papers authored by Meghan Campo

Since Specialization

Citations

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

Fields of papers citing papers by Meghan Campo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meghan Campo

This figure shows the co-authorship network connecting the top 25 collaborators of Meghan Campo. A scholar is included among the top collaborators of Meghan Campo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Meghan Campo. Meghan Campo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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