April Lind

880 total citations · 1 hit paper
5 papers, 653 citations indexed

About

April Lind is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health and Infectious Diseases. According to data from OpenAlex, April Lind has authored 5 papers receiving a total of 653 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Epidemiology, 2 papers in Public Health, Environmental and Occupational Health and 1 paper in Infectious Diseases. Recurrent topics in April Lind's work include Breastfeeding Practices and Influences (1 paper), Influenza Virus Research Studies (1 paper) and Respiratory viral infections research (1 paper). April Lind is often cited by papers focused on Breastfeeding Practices and Influences (1 paper), Influenza Virus Research Studies (1 paper) and Respiratory viral infections research (1 paper). April Lind collaborates with scholars based in United States. April Lind's co-authors include Karen L. Margolis, Kristin L. Nichol, Sanne Magnan, Maureen Murdoch, Meri Hauge, Marguerite Duane, Irit Sinaï, Michael D. Manhart, Jeffrey Zhang and Sádia Ali and has published in prestigious journals such as New England Journal of Medicine, Critical Care Medicine and Critical Care.

In The Last Decade

April Lind

5 papers receiving 599 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Effectiveness of Vaccination against Influenza in Healthy, Working Adults

1995 535 citations Kristin L. Nichol, April Lind et al. New England Journal of Medicine profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
April Lind United States	4	449	152	133	88	54	5	653
Mariam Tashkandi Canada	8	434 1.0×	133 0.9×	120 0.9×	53 0.6×	49 0.9×	9	844
Po-Po Lam Canada	9	644 1.4×	294 1.9×	258 1.9×	67 0.8×	109 2.0×	9	874
Constantina Boikos Canada	13	449 1.0×	79 0.5×	136 1.0×	202 2.3×	30 0.6×	31	650
Emily Hancock United States	12	583 1.3×	65 0.4×	157 1.2×	42 0.5×	140 2.6×	23	823
R. Harling United Kingdom	10	399 0.9×	238 1.6×	140 1.1×	71 0.8×	67 1.2×	19	552
Suizan Zhou China	11	280 0.6×	94 0.6×	107 0.8×	47 0.5×	60 1.1×	30	377
George Kassianos United Kingdom	16	532 1.2×	188 1.2×	117 0.9×	35 0.4×	35 0.6×	42	747
Alejandro Pérez United States	11	303 0.7×	50 0.3×	97 0.7×	37 0.4×	39 0.7×	14	464
Joan O’Donnell Ireland	13	433 1.0×	141 0.9×	217 1.6×	26 0.3×	114 2.1×	46	757
Chunna Ma China	14	330 0.7×	92 0.6×	169 1.3×	30 0.3×	102 1.9×	39	463

Countries citing papers authored by April Lind

Since Specialization

Citations

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

Fields of papers citing papers by April Lind

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of April Lind

This figure shows the co-authorship network connecting the top 25 collaborators of April Lind. A scholar is included among the top collaborators of April Lind 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 April Lind. April Lind is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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5 of 5 papers shown

1.

Miller, Joseph M., Charles Bruen, Jeffrey Zhang, et al.. (2020). Auxora versus standard of care for the treatment of severe or critical COVID-19 pneumonia: results from a randomized controlled trial. Critical Care. 24(1). 502–502. 55 indexed citations

2.

Bruen, Charles, Joseph Miller, Jeffrey Zhang, et al.. (2020). 294: Auxora Improves D-Dimer Levels in Patients With Severe COVID-19 Pneumonia. Critical Care Medicine. 49(1). 134–134. 1 indexed citations

3.

Lind, April, Sara Richter, Cheryl Craft, & Alice Shapiro. (2017). Implementation of Routine Postpartum Depression Screening and Care Initiation Across a Multispecialty Health Care Organization: An 18-Month Retrospective Analysis. Maternal and Child Health Journal. 21(6). 1234–1239. 18 indexed citations

4.

Manhart, Michael D., et al.. (2013). Fertility awareness-based methods of family planning: A review of effectiveness for avoiding pregnancy using SORT. 5(1). 2–8. 44 indexed citations

5.

Nichol, Kristin L., April Lind, Karen L. Margolis, et al.. (1995). The Effectiveness of Vaccination against Influenza in Healthy, Working Adults. New England Journal of Medicine. 333(14). 889–893. 535 indexed citations breakdown →

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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