Mary B. Gibbs

705 citations
36 papers · 542 indexed · h-index 14
Topics
Blood groups and transfusion (23 papers)Erythrocyte Function and Pathophysiology (15 papers)Diabetes and associated disorders (9 papers)
Partner nations
United StatesChina

In The Last Decade

Mary B. Gibbs

34 papers receiving 491 citations

Peers

Mary B. Gibbs
Comparison fields: 5 of 93
  • Hematology 179
  • Physiology 142
  • Molecular Biology 138
  • Biochemistry 92
  • Epidemiology 64
Replace Junhua Lv with:
Junhua Lv China
P. Braquet France
Takanori Moriyama Japan
Rahul Sharma India
Meggan Czapiga United States
H. Dávid Germany
Beatriz E. Brito Venezuela
Yasuhiro Katsuura Japan
Chiara Beretta Sweden
Karine N. Traill Austria
Mary B. Gibbs relative to Junhua Lv China Junhua Lv's profile →
Citations per field
00.5×10×13.1×
Junhua Lv · 1×
Citations per year

Countries citing papers authored by Mary B. Gibbs

Since Specialization
Citations

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

Fields of papers citing papers by Mary B. Gibbs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mary B. Gibbs

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 33
2 11
3 23
4 43
5 44
6 13
7 1
8 2
9 7
10 3
11
EVALUATION OF ELECTRONIC MEASUREMENTS OF HEMAGGLUTINATION FOR QUANTITATIVE STUDIES. I. LIMITATIONS IN THE APPLICATION OF INSTRUMENT MEASUREMENTS.
5
12 17
13
EVALUATION OF ELECTRONIC MEASUREMENTS OF HEMAGGLUTINATION FOR QUANTITATIVE STUDIES. II. METHODS FOR ENUMERATION OF FREE CELLS IN AGGLUTINATION.
11
14 8
15 10
16 16
17 24
18 9
19 13
20 11

About Mary B. Gibbs

Mary B. Gibbs is a scholar working on Hematology, Biochemistry and Physiology, having authored 36 papers that have together received 542 indexed citations. Recurring topics across this work include Blood groups and transfusion (23 papers), Erythrocyte Function and Pathophysiology (15 papers) and Diabetes and associated disorders (9 papers). The work is most often cited by research in Hematology (179 citations), Biochemistry (92 citations) and Aging (10 citations). Mary B. Gibbs has collaborated with scholars based in United States and China. Frequent co-authors include R. Thomas Solis, Joseph H. Akeroyd, Joel Solomon, A. J. Bowdler, Dennis Goldfinger, Robert Silber, Creighton B. Wright, Chengyu Sheng, Chun Han and Bei Wang. Their work appears in journals such as Nature, Nature Communications and Blood.

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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